11 citations · 20 across the 37 of their papers we have counts for
17 papers · 1 filter
Efficient Adversarial Attacks on High-dimensional Offline Bandits
Seyed Mohammad Hadi Hosseini, Amir Najafi, Mahdieh Soleymani Baghshah
Bandit algorithms have recently emerged as a powerful tool for evaluating machine learning models, including generative image models and large language models, by efficiently ident…
SUSD: Structured Unsupervised Skill Discovery through State Factorization
Seyed Mohammad Hadi Hosseini, Mahdieh Soleymani Baghshah
Unsupervised Skill Discovery (USD) aims to autonomously learn a diverse set of skills without relying on extrinsic rewards. One of the most common USD approaches is to maximize the…
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…
CAREL: Instruction-guided reinforcement learning with cross-modal auxiliary objectives
Armin Saghafian, Amirmohammad Izadi, Negin Hashemi Dijujin +1
Grounding the instruction in the environment is a key step in solving language-guided goal-reaching reinforcement learning problems. In automated reinforcement learning, a key conc…