MiuLab

When Demonstrations Fail: Diagnosing the Limits of In-Context Learning in Large Audio-Language Models with Progressive Cue Removal

Tracking Evolving Needs: \\Discovering and Naming Dynamic Intents in Customer Service Dialogues

[Findings of EMNLP 26] ICICLE: Expanding Retrieval with In-Context Documents

When Users Don’t Ask: Benchmarking Context-Driven Memory Retrieval in Conversational Agents

AdaSearch: Balancing Parametric Knowledge and Search in Large Language Models via Reinforcement Learning

A Systematic Assessment of LLM Guardrails on Multi-Step Tool-Calling Trajectories

Rethinking Role-Playing Evaluation: Anonymous Benchmarking and A Systematic Study of Personality Effects

Survey Paper for Multi-Agent Interaction and Collaboration