1 citations · 2 across the 18 of their papers we have counts for
3 papers · 1 filter
Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning
Ahsan Bilal, Muhammad Ahmed Mohsin, Muhammad Umer +4
Test-time scaling improves LLM reasoning by using additional inference compute, but wider sampling alone can suffer from diminishing returns: new rollouts often repeat existing ans…
Pressure, What Pressure? Sycophancy Disentanglement in Language Models via Reward Decomposition
Muhammad Ahmed Mohsin, Ahsan Bilal, Muhammad Umer +1
Large language models exhibit sycophancy, the tendency to shift their stated positions toward perceived user preferences or authority cues regardless of evidence. Standard alignmen…
Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey
Ahsan Bilal, Muhammad Ahmed Mohsin, Muhammad Umer +2
This survey explores the development of meta-thinking capabilities in Large Language Models (LLMs) from a Multi-Agent Reinforcement Learning (MARL) perspective. Meta-thinking self-…