SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story Comprehension Paper • 2508.01959 • Published Aug 3 • 56
PRELUDE: A Benchmark Designed to Require Global Comprehension and Reasoning over Long Contexts Paper • 2508.09848 • Published Aug 13 • 66
ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning Paper • 2508.10419 • Published Aug 14 • 73
PRELUDE: A Benchmark Designed to Require Global Comprehension and Reasoning over Long Contexts Paper • 2508.09848 • Published Aug 13 • 66
ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning Paper • 2508.10419 • Published Aug 14 • 73
ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning Paper • 2508.10419 • Published Aug 14 • 73 • 2
SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story Comprehension Paper • 2508.01959 • Published Aug 3 • 56
Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings Paper • 2506.08592 • Published Jun 10 • 22
Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings Paper • 2506.08592 • Published Jun 10 • 22
Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings Paper • 2506.08592 • Published Jun 10 • 22 • 2
Identifying Factual Inconsistencies in Summaries: Grounding Model Inference via Task Taxonomy Paper • 2402.12821 • Published Feb 20, 2024
Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind Paper • 2211.04684 • Published Nov 9, 2022