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20242026
most citedModel Merging and Safety Alignment: One Bad Model Spoils the Bunch

2 citations · 3 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.LG2026

LongCoT: Benchmarking Long-Horizon Chain-of-Thought Reasoning

Sumeet Ramesh Motwani, Daniel Nichols, Charles London +17

As language models are increasingly deployed for complex autonomous tasks, their ability to reason accurately over longer horizons becomes critical. An essential component of this…

cs.LG2025

PSyDUCK: Training-Free Steganography for Latent Diffusion

Aqib Mahfuz, Georgia Channing, Mark van der Wilk +3

Recent advances in generative AI have opened promising avenues for steganography, which can securely protect sensitive information for individuals operating in hostile environments…

cs.LG20243 cited

MALT: Improving Reasoning with Multi-Agent LLM Training

Sumeet Ramesh Motwani, Chandler Smith, Rocktim Jyoti Das +6

Large Language Models (LLMs) often produce answers with a single chain-of-thought, which restricts their ability to explore reasoning paths or self-correct flawed outputs in comple…

cs.LG2024

Risks and Opportunities of Open-Source Generative AI

Francisco Eiras, Aleksandar Petrov, Bertie Vidgen +22

Applications of Generative AI (Gen AI) are expected to revolutionize a number of different areas, ranging from science & medicine to education. The potential for these seismic chan…

cs.LG2024

Near to Mid-term Risks and Opportunities of Open-Source Generative AI

Francisco Eiras, Aleksandar Petrov, Bertie Vidgen +21

In the next few years, applications of Generative AI are expected to revolutionize a number of different areas, ranging from science & medicine to education. The potential for thes…