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      "authors": "Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang",
      "year": 2024,
      "title": "Lost in the Middle: How Language Models Use Long Contexts",
      "venue": "Transactions of the Association for Computational Linguistics 12",
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      "authors": "Cheng-Ping Hsieh, Simeng Sun, Samuel Kriman, Shantanu Acharya, Dima Rekesh, Fei Jia, Yang Zhang, Boris Ginsburg",
      "year": 2024,
      "title": "RULER: What's the Real Context Size of Your Long-Context Language Models?",
      "venue": "COLM 2024",
      "url": "https://openreview.net/forum?id=kIoBbc76Sy",
      "identifier": "OpenReview: kIoBbc76Sy; arXiv:2404.06654",
      "status": "Conference paper",
      "check": "Conference paper and benchmark scope verified; claim alignment checked against task coverage and reported length degradation."
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    {
      "id": "S3",
      "authors": "Ali Modarressi, Hanieh Deilamsalehy, Franck Dernoncourt, Trung Bui, Ryan A. Rossi, Seunghyun Yoon, Hinrich Schuetze",
      "year": 2025,
      "title": "NoLiMa: Long-Context Evaluation Beyond Literal Matching",
      "venue": "Proceedings of Machine Learning Research 267, ICML 2025",
      "url": "https://proceedings.mlr.press/v267/modarressi25a.html",
      "identifier": "PMLR v267; arXiv:2502.05167",
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      "id": "S4",
      "authors": "Yushi Bai et al.",
      "year": 2024,
      "title": "LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding",
      "venue": "ACL 2024",
      "url": "https://aclanthology.org/2024.acl-long.172/",
      "identifier": "doi:10.18653/v1/2024.acl-long.172",
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      "id": "S5",
      "authors": "Jia He, Mukund Rungta, David Koleczek, Arshdeep Sekhon, Franklin X. Wang, Sadid Hasan",
      "year": 2024,
      "title": "Does Prompt Formatting Have Any Impact on LLM Performance?",
      "venue": "arXiv preprint",
      "url": "https://arxiv.org/abs/2411.10541",
      "identifier": "arXiv:2411.10541; doi:10.48550/arXiv.2411.10541",
      "status": "Preprint; no peer-reviewed venue identified in this check",
      "check": "arXiv metadata and abstract verified; the supplied ledger describes GPT-3.5/GPT-4 task-specific results. Do not label this a conference paper."
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    {
      "id": "S6",
      "authors": "Duc-Hai Nguyen, Vijayakumar Nanjappan, Barry O'Sullivan, Hoang D. Nguyen",
      "year": 2026,
      "title": "Questionnaire Meets LLM: A Benchmark and Empirical Study of Structural Skills for Understanding Questions and Responses",
      "venue": "LREC 2026",
      "url": "https://aclanthology.org/2026.lrec-1.371/",
      "identifier": "doi:10.63317/438xkvmy2xd9",
      "status": "Peer-reviewed conference paper",
      "check": "ACL record, study design, cross-format scope, and reported results verified."
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    {
      "id": "S7",
      "authors": "Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang",
      "year": 2024,
      "title": "Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study",
      "venue": "WSDM 2024",
      "url": "https://doi.org/10.1145/3616855.3635752",
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      "status": "Peer-reviewed conference paper",
      "check": "ACM bibliographic record and representation comparisons verified; wording remains task-specific."
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      "id": "S8",
      "authors": "Masahiro Kato, Taka Kato",
      "year": 2026,
      "title": "Which Algorithm Specification Formats Help Language Models Implement Machine Learning Algorithms?",
      "venue": "arXiv preprint",
      "url": "https://arxiv.org/abs/2607.03158",
      "identifier": "arXiv:2607.03158",
      "status": "Preprint; no peer-reviewed venue identified in this check",
      "check": "Preprint identity and described controlled design checked. Findings must remain labeled preliminary and not treated as independently replicated."
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      "authors": "Netanel Eliav",
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      "venue": "arXiv preprint",
      "url": "https://arxiv.org/abs/2607.19257",
      "identifier": "arXiv:2607.19257; VeyraBench project",
      "status": "Preprint; independent replication not identified",
      "check": "Preprint record, design, and reported format/context results checked. Results are from one study/corpus and should not be generalized beyond its conditions."
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      "authors": "Zipeng Qiu, Chenyue Li, You Peng, Guangxin He, Binhang Yuan, Chen Wang",
      "year": 2026,
      "title": "TQA-Bench: Evaluating LLMs for Multi-Table Question Answering",
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      "id": "S11",
      "authors": "Tianyu Gao, Howard Yen, Jiatong Yu, Danqi Chen",
      "year": 2023,
      "title": "Enabling Large Language Models to Generate Text with Citations",
      "venue": "EMNLP 2023",
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      "check": "ACL record and separation of fluency, correctness, and citation-quality evaluation verified."
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      "id": "S12",
      "authors": "Cheng Niu et al.",
      "year": 2024,
      "title": "RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models",
      "venue": "ACL 2024",
      "url": "https://aclanthology.org/2024.acl-long.585/",
      "identifier": "doi:10.18653/v1/2024.acl-long.585",
      "status": "Peer-reviewed conference paper",
      "check": "ACL record, corpus size phrasing ('nearly 18,000'), and annotation scope verified."
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      "id": "S13",
      "authors": "Sewon Min et al.",
      "year": 2023,
      "title": "FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation",
      "venue": "EMNLP 2023",
      "url": "https://aclanthology.org/2023.emnlp-main.741/",
      "identifier": "doi:10.18653/v1/2023.emnlp-main.741",
      "status": "Peer-reviewed conference paper",
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      "authors": "Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, Yuqing Yang, Lili Qiu",
      "year": 2023,
      "title": "LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models",
      "venue": "EMNLP 2023",
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      "title": "LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression",
      "venue": "ACL 2024",
      "url": "https://aclanthology.org/2024.acl-long.91/",
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      "authors": "Vivek Sharma et al.",
      "year": 2024,
      "title": "RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation",
      "venue": "ICLR 2024",
      "url": "https://proceedings.iclr.cc/paper_files/paper/2024/hash/bda88ed2892f5e61c9a9bf215c566913-Abstract-Conference.html",
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      "authors": "Jeff Wu, Long Ouyang, Daniel M. Ziegler, Nisan Stiennon, Ryan Lowe, Jan Leike, Paul Christiano",
      "year": 2021,
      "title": "Recursively Summarizing Books with Human Feedback",
      "venue": "arXiv preprint and OpenAI research publication",
      "url": "https://arxiv.org/abs/2109.10862",
      "identifier": "arXiv:2109.10862",
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      "authors": "Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal",
      "year": 2025,
      "title": "AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge",
      "venue": "NAACL 2025",
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      "authors": "Lianmin Zheng et al.",
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      "venue": "NeurIPS 2023 Datasets and Benchmarks Track",
      "url": "https://papers.neurips.cc/paper_files/paper/2023/hash/91f18a1287b398d378ef22505bf41832-Abstract-Datasets_and_Benchmarks.html",
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      "year": 2023,
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      "year": 2012,
      "title": "An Empirical Investigation of Statistical Significance in NLP",
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        "S12",
        "S13"
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    "Updated the TQA-Bench source record to its version-2 full text dated 2026-06-05; the linked 2026 text includes both token-length measurements and serialization-performance comparisons.",
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}