{"total":24,"rows":[{"id":"2407.20183","title":"MindSearch: Mimicking Human Minds Elicits Deep AI Searcher","created":"2024-07-29","cited_by_count":66,"area":null},{"id":"2408.14317","title":"Claim Verification in the Age of Large Language Models: A Survey","created":"2024-08-26","cited_by_count":24,"area":null},{"id":"2405.15349","title":"Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models","created":"2024-05-24","cited_by_count":19,"area":null},{"id":"2406.13375","title":"ALiiCE: Evaluating Positional Fine-grained Citation Generation","created":"2024-06-19","cited_by_count":15,"area":null},{"id":"2502.11401","title":"Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment","created":"2025-02-17","cited_by_count":14,"area":null},{"id":"2410.24200","title":"Length-Induced Embedding Collapse in PLM-based Models","created":"2024-10-31","cited_by_count":9,"area":null},{"id":"2604.27043","title":"CL-bench Life: Can Language Models Learn from Real-Life Context?","created":"2026-04-29","cited_by_count":9,"area":null},{"id":"2501.15000","title":"MDEval: Evaluating and Enhancing Markdown Awareness in Large Language Models","created":"2025-01-25","cited_by_count":7,"area":null},{"id":"2405.17998","title":"Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop","created":"2024-05-28","cited_by_count":5,"area":null},{"id":"2408.04662","title":"Citekit: A Modular Toolkit for Large Language Model Citation Generation","created":"2024-08-06","cited_by_count":5,"area":null},{"id":"2409.14744","title":"LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs","created":"2024-09-23","cited_by_count":5,"area":null},{"id":"2510.10161","title":"Large Language Model Sourcing: A Survey","created":"2025-10-11","cited_by_count":5,"area":null},{"id":"2503.03170","title":"AttackSeqBench: Benchmarking the Capabilities of LLMs for Attack Sequences Understanding","created":"2025-03-05","cited_by_count":4,"area":null},{"id":"2505.21250","title":"ReSCORE: Label-free Iterative Retriever Training for Multi-hop Question Answering with Relevance-Consistency Supervision","created":"2025-05-27","cited_by_count":4,"area":null},{"id":"2409.19382","title":"Zero-Shot Multi-Hop Question Answering via Monte-Carlo Tree Search with Large Language Models","created":"2024-09-28","cited_by_count":3,"area":null},{"id":"2412.00239","title":"Generating a Low-code Complete Workflow via Task Decomposition and RAG","created":"2024-11-29","cited_by_count":3,"area":null},{"id":"2504.03640","title":"Bonsai: Interpretable Tree-Adaptive Grounded Reasoning","created":"2025-04-04","cited_by_count":1,"area":null},{"id":"2508.01815","title":"From Graph Retrieval to Schema Realization: Counterfactual Validation for Text-to-SPARQL over Heterogeneous Knowledge Graphs","created":"2025-08-03","cited_by_count":1,"area":null},{"id":"2508.10492","title":"Reverse Physician-AI Relationship: Full-process Clinical Diagnosis Driven by a Large Language Model","created":"2025-08-14","cited_by_count":1,"area":null},{"id":"2609.11955","title":"R2VC: Modular Fact-Checking with Retrieval, Verification, and Confidence Calibration","created":"2026-08-06","cited_by_count":1,"area":null},{"id":"2501.10642","title":"Iterative Tree Analysis for Medical Critics","created":"2025-01-18","cited_by_count":0,"area":null},{"id":"2506.17692","title":"Resource-Friendly Dynamic Enhancement Chain for Multi-Hop Question Answering","created":"2025-06-21","cited_by_count":0,"area":null},{"id":"2508.08942","title":"Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens","created":"2025-08-12","cited_by_count":0,"area":null},{"id":"2512.00267","title":"Trification: A Comprehensive Tree-based Strategy Planner and Structural Verification for Fact-Checking","created":"2025-11-29","cited_by_count":0,"area":null}],"next_cursor":null}