MAGMaR

SynthTextEval: A Toolkit for Generating and Evaluating Synthetic Data Across Domains (EMNLP 2025 System Demonstration) - kr-ramesh/synthtexteval

The AAAI/ACM SIGAI Doctoral Dissertation Award recognizes and encourages superior research and writing by doctoral candidates in AI.

A new generation of AI models generates step-by-step reasoning text before producing an answer. This text appears to offer a human-readable window into their computation process, and is increasingly r...

What is it about human brains that allows us to reason symbolically whereas most other animals cannot? There is evidence that dynamic binding, the ability to combine neurons into groups on the fly, is...

pdf bibProceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)Wanxiang Che | Joyce Nabende | Ekaterina Shutova | Mohammad Taher Pilehvar

How to migrate to bsky without a boring feed.

Large language models frequently rely on both contextual input and parametric knowledge to perform tasks. However, these sources can come into conflict, especially when retrieved documents contradict…

Researchers from the Department of Computer Science will present groundbreaking work at the IEEE/CVF Computer Vision and Pattern Recognition Conference, the premier annual computer vision event.

EvalAI is an open-source web platform for organizing and participating in challenges to push the state of the art on AI tasks.

We introduce Cambrian-1, a family of multimodal LLMs (MLLMs) designed with a vision-centric approach. While stronger language models can enhance multimodal capabilities, the design choices for vision ...

High-quality training data has proven crucial for developing performant large language models (LLMs). However, commercial LLM providers disclose few, if any, details about the data used for training. ...