Overview

Long-context retrieval studies how to locate and use relevant evidence when information is spread across very long documents, conversations, or model inputs. Common approaches include chunked dense or lexical search, hierarchical and structure-aware navigation, evidence aggregation, and model-side memories such as recurrent states or compressed KV caches. Benchmarks such as LongBench, LongMemEval, and needle-in-a-haystack tests measure retrieval, multi-hop reasoning, and evidence grounding across different context lengths and document types. A central challenge is that advertised context length does not guarantee reliable access to dispersed or competing evidence, while retrieval and compression methods must balance accuracy, cost, and faithful support for answers.

Latest papers

CardsList

45 papers12 papers in the last four weeks, up 200% on the four weeks before. 0.1% of all new papers.

  1. Head Dimension Matters in Language Models for Long-Context Retrieval

    Oct 23, 2026Seiya Tokui, Shoichiro Yamaguchi, Sosuke KobayashiLong-Context RetrievalAttention Head Analysis

  2. Scan or Index? large Evidence Coverage, Answer Quality, and Cost in Long-Document RAG

    Oct 20, 2026Juan Terven, Diana-Margarita Córdova-Esparza, Julio-Alejandro Romero-González +5Long-Context RetrievalEvidence Retrieval

  3. Weighted State Souping for Efficient Long-Context Retrieval

    Oct 19, 2026William L. Tong, Aryo Lotfi, Emmanuel Abbe +3State Space Language ModelsLong-Context Retrieval

  4. Latent Compaction with Test-Time Training

    Oct 14, 2026Yingfa Chen, Xingyu Shen, Chaojun Xiao +1LLM Context CompressionKV-Cache Compression

  5. VL-DocIR: A Benchmark for Vision-Based Long Document Information Retrieval

    Oct 12, 2026Simon Ott, Yufan Chen, Ruiping Liu +6Visual Document RetrievalLong-Context Retrieval

  6. Periscope: Extending Frozen Language Models Beyond Their Context Window

    Oct 2, 2026Mohamed Eltahir, Anas Obayd, Raed Rashid +5Long-Context Language Model InferenceLong-Context Reasoning in Language Models

  7. Tree Navigation Without LLM Summaries: A Matched-Cost Study of Hierarchical Retrieval for Long-Document QA

    Sep 30, 2026Priyank Jayraj, Poonam Goyal, Navneet GoyalLong-Context RetrievalInformation Retrieval

  8. Targeted Retrieval, Compact Representations: How CoT Reasoning Improves Long-Context Counting

    Sep 30, 2026Liang Twist Shan, Tianyu Hu, Hao Yan +1Numerical Reasoning in Language ModelsLong-Context Retrieval

  9. Periodic Weak Spots: Phase Sensitivity from Chunked KV-Cache Compression

    Sep 28, 2026Xingyu Zhu, Pu, Yi +6Long-Context RetrievalKV-Cache Compression

  10. On-Policy Attention Linearization

    Sep 25, 2026Arian Raje, Anupam Nayak, Anthony Fei +3Linear AttentionHybrid Transformer Architectures

  11. HySparse2: Hybrid Sparse Attention with Two-Level KV Sharing

    Sep 22, 2026Jianyu Wei, Yizhao Gao, Qihao Zhang +12Long-Context RetrievalKV-Cache Management

  12. Beyond Linear Context: Graph-Guided Evidence Navigation for Long-Novel Reasoning with a Local 9B Language Model

    Sep 19, 2026Wenji FuLong-Context QALLM Reasoning with Graphs

  13. PAGE: Partition-Aware Gated KV-Cache Eviction

    Aug 26, 2026Pankaj Kumar, Subhankar MishraLong-Context RetrievalKV Caching

  14. MARCH: Scaling Recurrent Memory with Content-Routed State Anchors

    Aug 12, 2026Ming Zhang, Kaisen Yang, Shu Yu +6Long-Context RetrievalIn-Context Retrieval

  15. CoinRAG: Contextualized Information Nugget KV Cache Reuse for Long-Context RAG

    Aug 7, 2026Gyuwan Kim, Cheoneum Park, Tao YangLong-Context RetrievalRetrieval-Augmented Generation

  16. Beyond Top-K: Replacing Black-Box Retrieval with Interpretable Agentic Operations

    Aug 6, 2026Sagar Tamang, Ayush Vyas, Tabarakul HazarikaLong-Context RetrievalRetrieval-Augmented Generation

  17. When Attention Goes Blind: Numerical Failure in ALiBi Positional Encodings

    Aug 4, 2026Christopher Schröder, Lukas Gienapp, Ferdinand Schlatt +2Language Model PretrainingLong-Context Retrieval

  18. Mamba with Hierarchical Memory: Solving Representation Bottleneck in Long Sequence Modeling

    Aug 3, 2026Qinwen Wang, Jieping Luo, Aoxiang Qin +5Long-Context RetrievalMemory-Augmented Neural Networks

  19. XL-DocBench: Benchmarking Evidence-Grounded Extra-Long Document Understanding

    Jul 21, 2026Hongchen Wei, Yuanzhe Wang, Bei Liu +9Long-Context RetrievalLLM Evaluation

  20. Is Progressive Disclosure All You Need for Long-Context Agents?

    Jul 20, 2026Yifeng He, Yinzhe Zhao, Jicheng Wang +1Long-Context RetrievalLong-Context QA

  21. Sparse Delta Memory: Scaling the State of Linear RNNs through Sparsity

    Jul 8, 2026Loïc Cabannes, Pierre-Emmanuel Mazaré, Gergely Szilvasy +6Long-Context RetrievalMemory-Augmented Language Models

  22. Logit-Contribution Scoring Identifies Non-Literal Retrieval Heads

    Jul 1, 2026Aryo Pradipta Gema, Beatrice Alex, Pasquale MinerviniLong-Context RetrievalAttention Head Analysis