{"total":25,"rows":[{"id":"2407.12883","title":"BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval","created":"2024-07-16","cited_by_count":158,"area":null},{"id":"2410.02694","title":"HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly","created":"2024-10-03","cited_by_count":125,"area":null},{"id":"2407.12854","title":"Scaling Retrieval-Based Language Models with a Trillion-Token Datastore","created":"2024-07-09","cited_by_count":56,"area":null},{"id":"2404.03302","title":"How Easily do Irrelevant Inputs Skew the Responses of Large Language Models?","created":"2024-04-04","cited_by_count":44,"area":null},{"id":"2404.15127","title":"GSCo: Towards Generalizable AI in Medicine via Generalist-Specialist Collaboration","created":"2024-04-23","cited_by_count":34,"area":null},{"id":"2411.12644","title":"CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval","created":"2024-11-19","cited_by_count":34,"area":null},{"id":"2404.12447","title":"AmbigDocs: Reasoning across Documents on Different Entities under the Same Name","created":"2024-04-18","cited_by_count":21,"area":null},{"id":"2501.01303","title":"Citations and Trust in LLM Generated Responses","created":"2025-01-02","cited_by_count":18,"area":null},{"id":"2506.04202","title":"TracLLM: A Generic Framework for Attributing Long Context LLMs","created":"2025-06-04","cited_by_count":13,"area":null},{"id":"2502.00977","title":"Context-Aware Hierarchical Merging for Long Document Summarization","created":"2025-02-03","cited_by_count":9,"area":null},{"id":"2412.10960","title":"Can LLMs Help Create Grammar?: Automating Grammar Creation for Endangered Languages with In-Context Learning","created":"2024-12-14","cited_by_count":8,"area":null},{"id":"2510.23730","title":"Evaluating Long-Term Memory for Long-Context Question Answering","created":"2025-10-27","cited_by_count":8,"area":null},{"id":"2410.18251","title":"Context-Augmented Code Generation Using Programming Knowledge Graphs","created":"2024-10-09","cited_by_count":4,"area":null},{"id":"2410.03726","title":"Neurosymbolic AI approach to Attribution in Large Language Models","created":"2024-09-30","cited_by_count":3,"area":null},{"id":"2406.14473","title":"Data-Centric AI in the Age of Large Language Models","created":"2024-06-20","cited_by_count":2,"area":null},{"id":"2503.23687","title":"MKA: Leveraging Cross-Lingual Consensus for Model Abstention","created":"2025-03-31","cited_by_count":2,"area":null},{"id":"2506.21288","title":"Small Encoders Can Rival Large Decoders in Detecting Groundedness","created":"2025-06-26","cited_by_count":1,"area":null},{"id":"2507.01900","title":"High-Layer Attention Pruning with Rescaling","created":"2025-07-02","cited_by_count":1,"area":null},{"id":"2606.11474","title":"Mahalanobis-Guided Latent OOD Detection for Hybrid ES-DRL Control in Time-Varying Systems","created":"2026-06-09","cited_by_count":1,"area":null},{"id":"2408.09585","title":"On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification","created":"2024-08-18","cited_by_count":0,"area":null},{"id":"2505.18694","title":"AI-Driven Climate Policy Scenario Generation for Sub-Saharan Africa","created":"2025-05-24","cited_by_count":0,"area":null},{"id":"2508.02074","title":"The SMeL Test: A simple benchmark for media literacy in language models","created":"2025-08-04","cited_by_count":0,"area":null},{"id":"2601.20810","title":"Context-Augmented Code Generation Using Programming Knowledge Graphs","created":"2026-01-28","cited_by_count":0,"area":null},{"id":"2605.01407","title":"The Pre-Training Study of Expanded-SPLADE Models on Web Document Titles","created":"2026-05-02","cited_by_count":0,"area":null},{"id":"2608.01311","title":"RH-RAG: Trustworthy Long-Form Generation for Privacy-Constrained Settings","created":"2026-08-02","cited_by_count":0,"area":null}],"next_cursor":null}