activity
20092026
most citedHow To Grade a Test Without Knowing the Answers --- A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing

113 citations · 399 across the 53 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

APRES: An Agentic Paper Revision and Evaluation System

Bingchen Zhao, Jenny Zhang, Chenxi Whitehouse +8

Scientific discoveries must be communicated clearly to realize their full potential. Without effective communication, even the most groundbreaking findings risk being overlooked or…

cs.CL2025

Souper-Model: How Simple Arithmetic Unlocks State-of-the-Art LLM Performance

Shalini Maiti, Amar Budhiraja, Bhavul Gauri +8

Large Language Models (LLMs) have displayed remarkable capabilities across diverse domains, but their training remains resource- and time-intensive, requiring massive computational…

cs.CL2025★ 4 cited

MLGym: A New Framework and Benchmark for Advancing AI Research Agents

Deepak Nathani, Lovish Madaan, Nicholas Roberts +14

We introduce Meta MLGym and MLGym-Bench, a new framework and benchmark for evaluating and developing LLM agents on AI research tasks. This is the first Gym environment for machine…

cs.CL2024★ 2 cited

Steering Language Models with Game-Theoretic Solvers

Ian Gemp, Roma Patel, Yoram Bachrach +6

Mathematical models of interactions among rational agents have long been studied in game theory. However these interactions are often over a small set of discrete game actions whic…

cs.CL2017★ 6 cited

An Attention Mechanism for Answer Selection Using a Combined Global and Local View

Yoram Bachrach, Andrej Zukov-Gregoric, Sam Coope +4

We propose a new attention mechanism for neural based question answering, which depends on varying granularities of the input. Previous work focused on augmenting recurrent neural…