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Elliot Murphy

@elliot-murphy.bsky.social
1.9K followers 198 following 744 posts

• Postdoc, Dept of Neurosurgery, UTHealth • Compositionality in neural and artificial systems Website: elliot-murphy.com

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Reposted by Elliot Murphy
Mal Shah @compositiomality.bsky.social · 30/09/2026
Accepted to Linguistic Inquiry! I argue on syntactic grounds “some of the apples” is really “some apples of the apples” with NP-ellipsis. This explains which quantifiers and which modifiers (adjectives, prepositional phrases, relative clauses) can’t appear. Preprint: ling.auf.net/lingbuzz/009...
ling.auf.net
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Reposted by Elliot Murphy
Neural Dynamics Lab, Institute of Neuroinformatics, ETH Zurich @ndlab.bsky.social · 26/09/2026
Our review on language networks and neuromodulation is finally out! 🎉 We propose the Interacting Language Network (ILN), arguing that neuromodulation for language disorders should target distributed networks rather than isolated regions. doi.org/10.1016/j.ne...
doi.org
Redirecting
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Reposted by Elliot Murphy
Morten H. Christiansen @mh-christiansen.bsky.social · 20/09/2026
👉 New paper with Cris Rivera in Cognitive Science providing preliminary evidence that although chunking across multiple levels of linguistic representation is important to overcoming the Now-or-Never bottleneck, there is no unitary chunking ability 1/2 onlinelibrary.wiley.com/doi/abs/10.1...
onlinelibrary.wiley.com
Is Chunking Ability Unitary Across Levels of Linguistic Representation?
Much like with statistical learning, there is a tendency in the cognitive and language science literature to treat chunking as a unitary, domain-general ability that operates fairly similarly across ...
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Elliot Murphy @elliot-murphy.bsky.social · 15/09/2026
New work out today! The result of a 15 year project to offer genuine linking hypotheses between linguistics and neuroscience: a revised research program, and its first result - a novel neural binding operation ('Meld') capturing core properties of natural language syntax 🧵 arxiv.org/abs/2609.14384
arxiv.org
Formal Properties of Language as Constraints on Neural Dynamics
What must a neural system be capable of to implement language? Current research annotates stimuli with linguistic variables and tests which electrodes, voxels, or language-model layers predict neural ...
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Elliot Murphy @elliot-murphy.bsky.social · 12/09/2026
Reconstruction and the New Minimalism bioling.psychopen.eu/index.php/bi...
bioling.psychopen.eu
Reconstruction and the New Minimalism| Biolinguistics
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Elliot Murphy @elliot-murphy.bsky.social · 11/09/2026
Neural geometry in the human hippocampus enables generalization across spatial position and gaze www.cell.com/neuron/abstr...
cell.com
Neural geometry in the human hippocampus enables generalization across spatial position and gaze
Chericoni et al. show that neurons in the human hippocampus track the positions of multiple agents in a simple pursuit-based video game. They identified place codes for each agent and for gaze. The co...
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Reposted by Elliot Murphy
Terence Tao @teorth.bsky.social · 11/09/2026
A group of 25 Fields Medalists, including myself, have made a joint declaration on Math and AI: mathandai.org . We welcome additional signatories. See also this article in the Economist announcing the declaration: www.economist.com/science-and-...
mathandai.org
Declaration — Math and AI
Read the declaration and add your name.
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Elliot Murphy @elliot-murphy.bsky.social · 11/09/2026
Active inference and artificial reasoning www.nature.com/articles/s41...
nature.com
Active inference and artificial reasoning - Nature Communications
Humans are remarkably adept at learning from sparse data, in part because they selectively sample information that is most informative about the rules governing their environment. Here, the authors de...
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Reposted by Elliot Murphy
Emily M. Bender @emilymbender.bsky.social · 11/09/2026
AI Doomerism has been in the news lately, especially with the loud, viral resignation of Jacob Coxon from Anthropic. Maybe I've missed it, but I haven't seen any statements from CEOs and other execs who are more on the AI Booster side of the ledger. >>
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Reposted by Elliot Murphy
Aniello De Santo @anids.bsky.social · 10/09/2026
Yes. Psycholinguists please read: lingbuzz.net/lingbuzz/010...
lingbuzz.net
Dependency or Phrase Structure Grammars - lingbuzz/010075
It is often claimed that Dependency Grammar (DG) is simpler than phrase structure grammars. Gibson (2026a) even made this claim quite explicitly in the title of his paper "Dependency syntax as the s -...
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Reposted by Elliot Murphy
Earl K. Miller @earlkmiller.bsky.social · 10/09/2026
Traveling waves are not just neurons firing. They are also waves of inputs. How quickly that input moves determines how strongly neurons respond, because leaky integration depends on timing as much as total input. www.researchsquare.com/article/rs-1... #neuroscience
researchsquare.com
Traveling waves along the cortical depth reflect structured synaptic inputs
Traveling waves (TWs) are widely observed in the brain and are thought to play multiple functional roles, yet what LFP traveling waves represent remains unclear. Using translaminar recordings in macaq...
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Elliot Murphy @elliot-murphy.bsky.social · 09/09/2026
Beautiful work from Levin 👀 Ingressing Minds: Causal, Non-Physical Patterns In-Form Natural, Synthetic, and Hybrid Embodiments mdpi.com/2409-9287/11...
mdpi.com
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Elliot Murphy @elliot-murphy.bsky.social · 08/09/2026
Two Words Are Faster Than One: Neural Dynamics of Accelerated Meaning in Phrases www.jneurosci.org/content/earl...
jneurosci.org
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Elliot Murphy @elliot-murphy.bsky.social · 08/09/2026
Children’s acquisition of syntax from distributional cues to phrase structure www.tandfonline.com/doi/full/10....
tandfonline.com
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Elliot Murphy @elliot-murphy.bsky.social · 07/09/2026
How contemporary academic structures constrain scientific creativity and hold back early-career researchers www.nature.com/articles/s41...
nature.com
How contemporary academic structures constrain scientific creativity and hold back early-career researchers - Nature Human Behaviour
In this Perspective, Haubrock et al. argue that today’s scientific structures constrain creativity and that strategic conformity is a rational response. They discuss how this holds back early-career r...
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Elliot Murphy @elliot-murphy.bsky.social · 07/09/2026
Representation of syntax in LLMs through the lens of linear distance and similarity-aware entropy arxiv.org/abs/2608.27813
arxiv.org
Representation of syntax in LLMs through the lens of linear distance and similarity-aware entropy
Structural probes were introduced by Hewitt and Manning to reconstruct syntactic trees from a neural language model's latent representations. They are evaluated by calculating the proportion of syntac...
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Elliot Murphy @elliot-murphy.bsky.social · 05/09/2026
Spatiotemporal dynamics of frontoparietal networks in semantic intuitive decision-making www.sciencedirect.com/science/arti...
sciencedirect.com
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Elliot Murphy @elliot-murphy.bsky.social · 04/09/2026
Out today - a brief commentary on this paper from @samnastase.bsky.social, @adelegoldberg.bsky.social and others. 🧵[1/8] arxiv.org/abs/2609.03160
arxiv.org
No country for old linguists: LLM-brain alignment underdetermines neural computation
Nastase et al. (2026) argue that large language models (LLMs) may illuminate language processing because both rely on distributed, context-sensitive representations shaped by statistical learning. The...
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Elliot Murphy @elliot-murphy.bsky.social · 02/09/2026
Amazing work ⚡🧠 Behavioral and Brain Responses to Language Reflect Different Levels of Linguistic Representation www.biorxiv.org/content/10.6...
biorxiv.org
Behavioral and Brain Responses to Language Reflect Different Levels of Linguistic Representation
Human language processing can be studied through both behavior and brain activity, yet it remains unclear whether these two data types reflect sensitivity to the same information. One influential view...
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Reposted by Elliot Murphy
Tom McCoy @rtommccoy.bsky.social · 01/09/2026
🤖🧠NEW PAPER🧠🤖 (The result of an 8-year project!) LLMs seem very different from symbolic systems. Yet LLMs excel in symbolic domains (e.g., language/code/math). How do they do it? Our finding: LLM representations have implicit symbolic structure! Link in thread ⬇️ 1/n
Overview of the paper. 
Title: The Emergent Symbolic Structure of Artificial Neural Networks
Authors: Tom McCoy, Paul Soulos, Tal Linzen, Paul Smolensky
Left: Neural networks encode information in vectors (there is then an image of a vector), yet they excel at tasks long thought to require symbolic structure (there is then an image of a symbolic representation, specifically a syntax tree). How do LLMs do it?
Right: We find that LLM representations can be closely approximated with symbolic structures. This approximation lets us edit the structure of an LLM’s output by editing the structure of its internal representations, as shown. There is then an image of two edits to LLMs. In the first one, the original input is 3 + 6 * 8, with an answer of 51. But if we swap the positions of the 3 and the 6, the output becomes 30. In the second one, the original input is a Python command repeating the list [Z, U] three times, producing [Z, U, Z, U, Z, U]. But if we edit the input in a way that adds a Q at the end of the input, the output becomes [Z, U, Q, Z, U, Q, Z, U, Q].
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Reposted by Elliot Murphy
Fernando Rosas @frosas.bsky.social · 29/08/2026
What is information, really? Instead of arguing for a single valid interpretation, we propose a pluralistic view where rigorous alternatives coexist — each with affordances and limits Finally published: “Four faces of information in natural systems” 🧵
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Elliot Murphy @elliot-murphy.bsky.social · 25/08/2026
arxiv.org/abs/2510.13255
arxiv.org
Hierarchical Frequency Tagging Probe (HFTP): A Unified Approach to Investigate Syntactic Structure Representations in Large Language Models and the Human Brain
Large Language Models (LLMs) demonstrate human-level or even superior language abilities, effectively modeling syntactic structures, yet the specific computational modules responsible remain unclear. ...
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Reposted by Elliot Murphy
Brett Karlan @oldjerryfodor.bsky.social · 19/05/2025
The cover of every OUP volume collecting Davidson's papers be like
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Elliot Murphy @elliot-murphy.bsky.social · 21/08/2026
Spatiotemporal dynamics of frontoparietal networks in semantic intuitive decision-making www.sciencedirect.com/science/arti...
sciencedirect.com
Spatiotemporal dynamics of frontoparietal networks in semantic intuitive decision-making
According to Bowers’ continuity model, semantic intuitive decision-making involves a gradual transition from an implicit guiding stage to an explicit …
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Reposted by Elliot Murphy
Cogan Lab @coganlab.bsky.social · 19/08/2026
Can a speech BCI learn across people? In Nature Communications, led by @zspald.bsky.social: High-density µECoG reveals shared neural dynamics that can be aligned to improve cross-patient speech decoding, even with little data from a new participant. doi.org/10.1038/s414... 1/5
doi.org
Shared latent representations of speech production for cross-patient speech decoding - Nature Communications
Current speech brain-computer interfaces (BCIs) rely on patient-specific decoding approaches. Here, the authors show that patient-specific data can be aligned to a shared space that preserves speech i...
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Reposted by Elliot Murphy
Earl K. Miller @earlkmiller.bsky.social · 20/08/2026
Neural oscillations make networks work better. "Rhythm-SNN" matched or beat other networks while using over 100 times less energy. www.nature.com/articles/s41... #neuroscience
nature.com
Efficient and robust temporal processing with neural oscillations modulated spiking neural networks - Nature Communications
Temporal processing and robustness to noise are challenges in current spiking neural networks. Drawing on principles of neural oscillations, the authors introduce Rhythm-SNN, which enhances temporal p...
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Reposted by Elliot Murphy
Earl K. Miller @earlkmiller.bsky.social · 19/08/2026
New paper/theory: Analog Cognition and Consciousness Thoughts, actions, and our unified sense of consciousness may emerge from wave patterns, which both shape and are shaped by neuron firing to create coherent mental states. www.jneurosci.org/content/46/3... #neuroscience
jneurosci.org
Analog Cognition and Consciousness
Cognition and consciousness may arise from bidirectional interactions between neuronal spiking and rhythmic electric field activity (brain waves). Goal-directed behavior relies on top-down control to ...
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Elliot Murphy @elliot-murphy.bsky.social · 19/08/2026
Analog Cognition and Consciousness www.nature.com/articles/s41...
nature.com
Neural dynamics underlying minute-timescale persistent behaviour in the human brain - Nature Human Behaviour
Courellis et al. examine how neurons in the human medial frontal cortex and hippocampus persistently represent context.
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Elliot Murphy @elliot-murphy.bsky.social · 19/08/2026
Neural dynamics underlying minute-timescale persistent behaviour in the human brain www.nature.com/articles/s41...
nature.com
Neural dynamics underlying minute-timescale persistent behaviour in the human brain - Nature Human Behaviour
Courellis et al. examine how neurons in the human medial frontal cortex and hippocampus persistently represent context.
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Reposted by Elliot Murphy
Cogan Lab @coganlab.bsky.social · 18/08/2026
How does a speech plan become fluent movement? In Nature Human Behaviour, led by Kumar Duraivel: Intracranial recordings reveal how hierarchical speech plans become continuous motor sequences across planning, articulation, and monitoring networks. doi.org/10.1038/s415... 1/5
doi.org
Distinct neural processes link speech planning and execution - Nature Human Behaviour
Direct recordings from the human brain reveal a hierarchy in planning to speak, with neural activity organizing whole syllables before the individual sounds that compose them are sequenced.
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Reposted by Elliot Murphy
Earl K. Miller @earlkmiller.bsky.social · 17/08/2026
High-gamma acts like a real-time, multi-purpose tracker of decision-making. And other evidence shows that high gamma is more than spiking. doi.org/10.1111/ejn.... #neuroscience
doi.org
Distinct High‐Gamma Signals in Primate Prefrontal Cortex Differentiate Cue Information, Preference Revision, and Expected Reward During Value‐Based Decisions
High-gamma activity in primate prefrontal cortex differentiates multiple task-defined variables during sequential decision-making, reflecting population-level dynamics consistent with mixed-selectivi....
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Elliot Murphy @elliot-murphy.bsky.social · 17/08/2026
Out today - my reply to Commentary articles in Cognitive Neuroscience! 'Necessity and plurality of neural dynamics under ROSE' www.tandfonline.com/doi/full/10....
tandfonline.com
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Elliot Murphy @elliot-murphy.bsky.social · 17/08/2026
Low-frequency neural responses synchronize to distinct structural rather than lexical features during sentence comprehension www.biorxiv.org/content/10.6...
biorxiv.org
Low-frequency neural responses synchronize to distinct structural rather than lexical features during sentence comprehension
Language comprehension involves the integration of single words (lexical units) into phrases and sentences (multi-word structures). Previous frequency-tagging studies have found that low-frequency neu...
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Elliot Murphy @elliot-murphy.bsky.social · 14/08/2026
Chomsky, Naturalism, and Conceptual Engineering academic.oup.com/monist/advan...
academic.oup.com
Chomsky, Naturalism, and Conceptual Engineering
ABSTRACT. Noam Chomsky’s contributions to the study of language span over seven decades. His work is often attributed the status of scientific revolution (
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Reposted by Elliot Murphy
Ben Hayden @benhayden.bsky.social · 13/08/2026
New paper from the BCM Neurosurgery research team! "Neural basis of compositional control" led by @assiachericoni.bsky.social and @justfineneuro.bsky.social ! 🧵 www.nature.com/articles/s41...
nature.com
Neural basis of compositional control - Nature
Behaviour of human participants in a prey-pursuit task reflects dynamic blending of goal-specific control policies, with hippocampus estimating latent states, anterior cingulate cortex orchestrating p...
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Sander van Bree @sandervanbree.bsky.social · 12/08/2026
Excited to share our preprint! w/ @martinhebart.bsky.social To understand how primates visually process objects in the world, we rely on both research in human and macaque IT. But what representations of object space are actually shared between them? biorxiv.org/content/10.6... Quick thread 🧵
biorxiv.org
Shared and Distinct High-Dimensional Object Spaces in Human and Macaque Inferotemporal Cortex
Human and macaque studies of inferotemporal cortex (IT) have shaped our understanding of object vision, yet the extent of their representational alignment and the precise nature of this correspondence...
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Elliot Murphy @elliot-murphy.bsky.social · 10/08/2026
Parenthetical Constructions in the Parallel Architecture academic.oup.com/book/61631
academic.oup.com
Parenthetical Constructions in the Parallel Architecture
Abstract. Parentheticals, it is fair to say, are everywhere; and, as can easily be shown, they come in a huge variety of flavors. Two characteristics set t
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Elliot Murphy @elliot-murphy.bsky.social · 07/08/2026
A useful resource! A systematic-review database of neurostimulation evidence for the neurobiology of language. www.language-elements.org
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Elliot Murphy @elliot-murphy.bsky.social · 07/08/2026
Incredible work! A Map of the Imagined: Topographic Principles of Sensory Simulation in the Human Parietal Cortex www.biorxiv.org/content/10.6...
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Elliot Murphy @elliot-murphy.bsky.social · 07/08/2026
Hybrid spatial organization and evidence for magnitude-independent neural coding of linguistic information during sentence production www.science.org/doi/10.1126/...
science.org
Hybrid spatial organization and evidence for magnitude-independent neural coding of linguistic information during sentence production
Brain recordings during speech reveal complex linguistic information throughout cortex, independent of neural activity levels.
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Elliot Murphy @elliot-murphy.bsky.social · 07/08/2026
Prediction in language comprehension across the lifespan www.nature.com/articles/s44...
nature.com
Prediction in language comprehension across the lifespan - Nature Reviews Psychology
Comprehending language involves active prediction of what might occur next. In this Review, Federmeier and colleagues synthesize evidence from children, young adults and older adults to show how predi...
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Reposted by Elliot Murphy
The Transmitter @thetransmitter.bsky.social · 06/08/2026
Kevin Mitchell @wiringthebrain.bsky.social talks to Timothy Behrens @behrenstimb.bsky.social about which neural systems the field has genuinely cracked. #neuroskyence www.thetransmitter.org/computationa...
thetransmitter.org
Success stories from computational neuroscience
Kevin Mitchell talks with Timothy Behrens about ring attractors, the role of innate structure, and an expanded view of cognitive maps.
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Elliot Murphy @elliot-murphy.bsky.social · 05/08/2026
www.nature.com/articles/s42...
nature.com
Beyond representational alignment with brain-guided language models for robust reasoning - Nature Machine Intelligence
Xiao et al. show that large language models partially align with human brain activity during deductive reasoning. They further show that brain signals can directly guide and improve model performance,...
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Reposted by Elliot Murphy
grushaprasad.bsky.social @grushaprasad.bsky.social · 05/08/2026
Excited to share a preprint of work done in collaboration with @emilynguist.bsky.social ! osf.io/preprints/ps... TLDR: some effect sizes are larger in lab than on web-based platforms. So when evaluating quantitative predictions, considering the testing platform can be important! 1/n
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Elliot Murphy @elliot-murphy.bsky.social · 05/08/2026
Thank you to the SFN organizers for this thoughtful planning 🙏🏼
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Elliot Murphy @elliot-murphy.bsky.social · 04/08/2026
Endogenous auditory and motor brain rhythms predict individual speech tracking journals.plos.org/plosbiology/...
journals.plos.org
Endogenous auditory and motor brain rhythms predict individual speech tracking
Endogenous brain rhythms are thought to support speech comprehension via auditory and motor interactions, but direct evidence for their role remains limited. This study shows that theta frequencies in...
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Elliot Murphy @elliot-murphy.bsky.social · 04/08/2026
Reconstruction of Imagined Melody with Relative Pitch Decoding in Electrocorticography www.eneuro.org/content/earl...
eneuro.org
Reconstruction of Imagined Melody with Relative Pitch Decoding in Electrocorticography
Music imagery involves internally generated auditory experiences, yet decoding imagined melodic content from neural activity remains challenging. Here, we examined whether imagined melodies can be dec...
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Elliot Murphy @elliot-murphy.bsky.social · 04/08/2026
Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO arxiv.org/abs/2607.27756
arxiv.org
Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO
Spoken dialog systems are typically designed for clean, dyadic interactions in which a single user and an assistant take turns speaking. Real-world social conversations, however, are often more ambigu...
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Elliot Murphy @elliot-murphy.bsky.social · 01/08/2026
Federal lawsuit accuses four major publishers of extorting article processing charges retractionwatch.com/2026/07/31/f...
retractionwatch.com
Federal lawsuit accuses four major publishers of extorting article processing charges
iStock A lawsuit filed under the U.S. False Claims Act accuses four major publishers of perpetrating a decade-long scheme to defraud the government by charging exorbitant article processing charges…
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