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When Semantic Similarity Fails: Analyzing Metric Divergence in Legal RAG Evaluation
This abstract has open access
Abstract Summary
Abstract ID :
NKDR173
Submission Type
Doctoral Consortium
Submission Topics
Applications Evaluation research Societally-motivated IR research
Author
ES
Eryclis Silva
PhD student
,
University Of Illinois At Urbana-Champaign
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Abstract Title
Abstract Topic
Submission Type
Primary Author
NKDR162
Affective Recommendation Through Physiological and Multimodal User Modeling
Applications Conversational search and recommender systems Machine Learning and Large Language Models Recommender systems Search and ranking
Doctoral Consortium
Moamen Zaher
NKDR176
Audio Retrieval: Challenges and Solutions
Doctoral Consortium
Watheq Mansour
NKDR171
Context-Aware Ranking in Expert Finding
Doctoral Consortium
Marjan Azimi
NKDR172
Metacognitive Multi-Agent Retrieval-Augmented Generation for Multi-Hop Reasoning
Applications Machine Learning and Large Language Models System aspects
Doctoral Consortium
Gabriel Iturra Bocaz
NKDR175
Simulating Specific Users in Conversational Search
Doctoral Consortium
Lili Lu
1
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