On the Mythos of LLM "Thinking Traces" (Talk @ Tubingen Ellis/MPI 10/9/2026)

Subbarao Kambhampati (కంభంపాటి సుబ్బారావు) (@rao2z) on X

Is AI Reasoning Right for the Wrong Reasons? | Quanta Magazine

#aiaphorisms | Subbarao Kambhampati

What does XAI mean in the era of LLMs? (Keynote @ ICLR 2026 Unified Concept Representations wkshp)

Unifying Concept Representation LearningICLR 2026

Misconceptions about LLM-Modulo and the Role of Verifiers in Reasoning Models. #SundayHarangue

𝐋𝐋𝐌-𝐏𝐫𝐨𝐜𝐞𝐬𝐬-𝐌𝐨𝐝𝐮𝐥𝐨: Our original 𝘓𝘓𝘔-𝘔𝘰𝘥𝘶𝘭𝘰 framework (https://lnkd.in/gyAyKx4E) is a Generate-Test framework, with the LLM generating candidate solutions and a bank of… | Subbarao Kambhampati

World Models: The old, the new and the wishful #SundayHarangue

Role of LLMs in Human-AI Interaction (Keynote @ Cogsima 2026)

Planning & Reasoning Abilities of LLMs/LRMs (Lecture 2 @ Melbourne ML Summer School 2026) | Subbarao Kambhampati

Anthropomorphization Sins in Modern AI (or Perils of Prematurely Applying Lens of Cognition to LLMs)

On the Mythos of LRM "Thinking Tokens" (Talk @ Microsoft Research, India; 12/16/2025)

Talk on the semantics of "Thinking Traces" (Keynote at NeurIPS2025 MAR Workshop)

LRMs and Agentic AI (Talk at Samsung AI Forum)

In the year since LRMs ("reasoning models") hit the scene, we have been trying to understand, analyze and demystify them.. Here are our efforts to date--conveniently all in one… | Subbarao K...

Subbarao Kambhampati (కంభంపాటి సుబ్బారావు) on X: "Rejecting papers in #AI Conferences because of "resource constraints" is shooting ourselves in the foot as a community; use Findings.. #SundayHarangue By now, we have all know that top AI conferences are oversubscribed (in terms of paper submissions), and have heard that that" / X

Subbarao Kambhampati (కంభంపాటి సుబ్బారావు) on X: "Proofs are not reasoning traces & I/O Format Language shouldn't be much of an issue for LLMs #SundayHarangue (Special IMO edition). 1/ My feed these last couple of days of IMO discussions has been full of comments that seem to conflate LRM intermediate tokens (aka reasoning" / X

Neither LLMs nor LRMs have the ability to go beyond the humanity's knowledge closure--which is needed for true discoveries. | Subbarao Kambhampati

Subbarao Kambhampati (కంభంపాటి సుబ్బారావు) on X: "Some of what that recent Apple LRM limitations paper shows is known (pardon my friendly Schmidhubering; I do welcome more LLM studies with scientific skepticism). Our study 👇 from Sep 2024 shows o1 accuracy degrading as complexity increases.. 1/ https://t.co/d8zEUGi4SZ" / X

ACDL Summer School Lectures on Planning/Reasoning Abilities of LLMs/LRMs - YouTube

Beyond Semantics: The Unreasonable Effectiveness of Reasonless Intermediate Tokens

Lucas Saldyt on X: "Neural networks can express more than they learn, creating expressivity-trainability gaps. Our paper, “Mind The Gap,” shows neural networks best learn parallel algorithms, and analyzes gaps in faithfulness and effectiveness. @rao2z https://t.co/8YjxPkXFu0" / X

Subbarao Kambhampati (కంభంపాటి సుబ్బారావు) on X: "This RLiNo? paper lead by @soumya_samineni & @durgesh_kalwar dives into the MDP model used in the RL post-training methods inspired by DeepSeek R1, and asks if some of the idiosyncrasies of RL in R1 aren't just consequences of the simplistic structural assumptions in the MDP 🧵1/ https://t.co/qPBY3tJILE" / X