4 papers
Partial Reasoning in Language Models: Search and Refinement Guided by Uncertainty
Murilo da Luz, Bruno Brandão, Luana Martins +4
The use of Large Language Models (LLMs) for reasoning and planning tasks has drawn increasing attention in Artificial Intelligence research. Despite their remarkable progress, thes…
InfoQuest: Evaluating Multi-Turn Dialogue Agents for Open-Ended Conversations with Hidden Context
Bryan L. M. de Oliveira, Luana G. B. Martins, Bruno Brandão +1
Large language models excel at following explicit instructions, but they often struggle with ambiguous or incomplete user requests, defaulting to verbose, generic responses instead…
Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning
Bryan L. M. de Oliveira, Luana G. B. Martins, Bruno Brandão +3
Effective visual representation learning is crucial for reinforcement learning (RL) agents to extract task-relevant information from raw sensory inputs and generalize across divers…
MARS-Gym: A Gym framework to model, train, and evaluate Recommender Systems for Marketplaces
Marlesson R. O. Santana, Luckeciano C. Melo, Fernando H. F. Camargo +4
Recommender Systems are especially challenging for marketplaces since they must maximize user satisfaction while maintaining the healthiness and fairness of such ecosystems. In thi…