4 papers · 1 filter
Observable Patterns Are Not Explanations: A Causal-Geometric Analysis of Latent Reasoning Models
Darpan Aswal, Thomas Palmeira Ferraz, Yongxin Zhou +1
Latent reasoning models (LRMs) replace explicit chain-of-thought with continuous thoughts. Recent work treats observable latent-state patterns, such as BFS-like frontiers and decod…
What Matters to an LLM? Behavioral and Computational Evidences from Summarization
Yongxin Zhou, Changshun Wu, Philippe Mulhem +2
Large Language Models (LLMs) are now state-of-the-art at summarization, yet the internal notion of importance that drives their information selections remains hidden. We propose to…
TempPerturb-Eval: On the Joint Effects of Internal Temperature and External Perturbations in RAG Robustness
Yongxin Zhou, Philippe Mulhem, Didier Schwab
The evaluation of Retrieval-Augmented Generation (RAG) systems typically examines retrieval quality and generation parameters like temperature in isolation, overlooking their inter…
GETALP@AutoMin 2025: Leveraging RAG to Answer Questions based on Meeting Transcripts
Jeongwoo Kang, Markarit Vartampetian, Felix Herron +3
This paper documents GETALP's submission to the Third Run of the Automatic Minuting Shared Task at SIGDial 2025. We participated in Task B: question-answering based on meeting tran…