53 citations · 83 across the 61 of their papers we have counts for
3 papers · 2 filters
Limits and Gains of Test-Time Scaling in Vision-Language Reasoning
Mohammadjavad Ahmadpour, Amirmahdi Meighani, Payam Taebi +3
Test-time scaling (TTS) has emerged as a powerful paradigm for improving the reasoning ability of Large Language Models (LLMs) by allocating additional computation at inference, ye…
CER: Confidence Enhanced Reasoning in LLMs
Ali Razghandi, Seyed Mohammad Hadi Hosseini, Mahdieh Soleymani Baghshah
Ensuring the reliability of Large Language Models (LLMs) in complex reasoning tasks remains a formidable challenge, particularly in scenarios that demand precise mathematical calcu…
Inductive Biases for Zero-shot Systematic Generalization in Language-informed Reinforcement Learning
Negin Hashemi Dijujin, Seyed Roozbeh Razavi Rohani, Mohammad Mahdi Samiei +1
Sample efficiency and systematic generalization are two long-standing challenges in reinforcement learning. Previous studies have shown that involving natural language along with o…