{"total":24,"rows":[{"id":"2407.02490","title":"MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention","created":"2024-07-02","cited_by_count":383,"area":null},{"id":"2402.10171","title":"Data Engineering for Scaling Language Models to 128K Context","created":"2024-02-15","cited_by_count":186,"area":null},{"id":"2308.11730","title":"Knowledge Graph Prompting for Multi-Document Question Answering","created":"2023-08-22","cited_by_count":152,"area":null},{"id":"2311.09198","title":"Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional Training","created":"2023-11-15","cited_by_count":32,"area":null},{"id":"2405.03939","title":"Long Context Alignment with Short Instructions and Synthesized Positions","created":"2024-05-07","cited_by_count":22,"area":null},{"id":"2501.12766","title":"NExtLong: Toward Effective Long-Context Training without Long Documents","created":"2025-01-22","cited_by_count":20,"area":null},{"id":"2403.11802","title":"Counting-Stars: A Multi-evidence, Position-aware, and Scalable Benchmark for Evaluating Long-Context Large Language Models","created":"2024-03-18","cited_by_count":17,"area":null},{"id":"2410.23463","title":"MDCure: A Scalable Pipeline for Multi-Document Instruction-Following","created":"2024-10-30","cited_by_count":10,"area":null},{"id":"2409.04774","title":"Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models","created":"2024-09-07","cited_by_count":9,"area":null},{"id":"2402.10979","title":"SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs","created":"2024-02-15","cited_by_count":8,"area":null},{"id":"2406.16086","title":"SEAM: A Stochastic Benchmark for Multi-Document Tasks","created":"2024-06-23","cited_by_count":8,"area":null},{"id":"2412.07096","title":"QAPyramid: Fine-grained Evaluation of Content Selection for Text Summarization","created":"2024-12-10","cited_by_count":8,"area":null},{"id":"2406.00842","title":"The Power of Summary-Source Alignments","created":"2024-06-02","cited_by_count":7,"area":null},{"id":"2505.17134","title":"LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions","created":"2025-05-22","cited_by_count":6,"area":null},{"id":"2406.02536","title":"Mitigate Position Bias in Large Language Models via Scaling a Single Dimension","created":"2024-06-04","cited_by_count":3,"area":null},{"id":"2505.24179","title":"SALE : Low-bit Estimation for Efficient Sparse Attention in Long-context LLM Prefilling","created":"2025-05-30","cited_by_count":3,"area":null},{"id":"2408.02907","title":"Leveraging Inter-Chunk Interactions for Enhanced Retrieval in Large Language Model-Based Question Answering","created":"2024-08-06","cited_by_count":2,"area":null},{"id":"2509.03565","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","created":"2025-09-03","cited_by_count":2,"area":null},{"id":"2311.09836","title":"PELMS: Pre-training for Effective Low-Shot Multi-Document Summarization","created":"2023-11-16","cited_by_count":1,"area":null},{"id":"2504.05767","title":"Cross-Document Contextual Coreference Resolution in Knowledge Graphs","created":"2025-04-08","cited_by_count":1,"area":null},{"id":"2510.18830","title":"MTraining: Distributed Dynamic Sparse Attention for Efficient Ultra-Long Context Training","created":"2025-10-21","cited_by_count":1,"area":null},{"id":"2602.22865","title":"Effective QA-driven Annotation of Predicate-Argument Relations Across Languages","created":"2026-02-26","cited_by_count":1,"area":null},{"id":"2405.00704","title":"A Survey on the Real Power of ChatGPT","created":"2024-04-22","cited_by_count":0,"area":null},{"id":"2509.12519","title":"Context-Aware Language Models for Forecasting Market Impact from Sequences of Financial News","created":"2025-09-15","cited_by_count":0,"area":null}],"next_cursor":null}