Papers

• The Distracting Effect: Understanding Irrelevant Passages in RAG (2025)
  Chen Amiraz et al.
  4.47
• BubbleRAG: Evidence-Driven Retrieval-Augmented Generation for Black-Box Knowledge Graphs (2026)
  Duyi Pan et al.
  1.94
• LettuceDetect: A Hallucination Detection Framework for RAG Applications (2025)
  Ádám Kovács et al.
  1.28
• Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval (2025)
  Xiaojun Wu et al.
  1.28
• MemMamba: Rethinking Memory Patterns in State Space Model (2025)
  Youjin Wang et al.
  1.28
• MRMR: A Realistic and Expert-Level Multidisciplinary Benchmark for Reasoning-Intensive Multimodal Retrieval (2025)
  Siyue Zhang et al.
  1.28
• From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries (2024)
  Hitesh Wadhwa et al.
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• SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation (2024)
  Zijun Yao et al.
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• JaColBERTv2.5: Optimising Multi-Vector Retrievers to Create State-of-the-Art Japanese Retrievers with Constrained Resources (2024)
  Benjamin Clavié
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• Zebra-Llama: A Context-Aware Large Language Model for Democratizing Rare Disease Knowledge (2024)
  Karthik Soman et al.
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