{"total":23,"rows":[{"id":"2402.06925","title":"A Thorough Examination of Decoding Methods in the Era of LLMs","created":"2024-02-10","cited_by_count":114,"area":null},{"id":"2402.04247","title":"Risks of AI Scientists: Prioritizing Safeguarding Over Autonomy","created":"2024-02-06","cited_by_count":49,"area":null},{"id":"2510.10395","title":"AVoCaDO: An Audiovisual Video Captioner Driven by Temporal Orchestration","created":"2025-10-12","cited_by_count":27,"area":null},{"id":"2410.13497","title":"Repetition Neurons: How Do Language Models Produce Repetitions?","created":"2024-10-17","cited_by_count":23,"area":null},{"id":"2402.14714","title":"Efficient and Effective Vocabulary Expansion Towards Multilingual Large Language Models","created":"2024-02-22","cited_by_count":15,"area":null},{"id":"2410.16848","title":"ETHIC: Evaluating Large Language Models on Long-Context Tasks with High Information Coverage","created":"2024-10-22","cited_by_count":12,"area":null},{"id":"2504.01100","title":"Repetitions are not all alike: distinct mechanisms sustain repetition in language models","created":"2025-04-01","cited_by_count":10,"area":null},{"id":"2410.07009","title":"Pap2Pat: Benchmarking Outline-Guided Long-Text Patent Generation with Patent-Paper Pairs","created":"2024-10-09","cited_by_count":8,"area":null},{"id":"2506.13688","title":"What Happens During the Loss Plateau? Understanding Abrupt Learning in Transformers","created":"2025-06-16","cited_by_count":7,"area":null},{"id":"2602.00612","title":"Lookahead-then-Verify: Reliable Constrained Decoding for Diffusion LLMs under Context-Free Grammars","created":"2026-01-31","cited_by_count":7,"area":null},{"id":"2507.07810","title":"Understanding and Controlling Repetition Neurons and Induction Heads in In-Context Learning","created":"2025-07-10","cited_by_count":5,"area":null},{"id":"2504.12608","title":"Code Copycat Conundrum: Demystifying Repetition in LLM-based Code Generation","created":"2025-04-17","cited_by_count":4,"area":null},{"id":"2606.09156","title":"OmniGen-AR: AutoRegressive Any-to-Image Generation","created":"2026-06-08","cited_by_count":4,"area":null},{"id":"2505.13514","title":"Induction Head Toxicity Mechanistically Explains Repetition Curse in Large Language Models","created":"2025-05-17","cited_by_count":3,"area":null},{"id":"2505.13171","title":"Positional Fragility in LLMs: How Offset Effects Reshape Our Understanding of Memorization Risks","created":"2025-05-19","cited_by_count":2,"area":null},{"id":"2603.16068","title":"Resource Consumption Threats in Large Language Models","created":"2026-03-17","cited_by_count":2,"area":null},{"id":"2508.06886","title":"Score Before You Speak: Improving Persona Consistency in Dialogue Generation using Response Quality Scores","created":"2025-08-09","cited_by_count":1,"area":null},{"id":"2601.00691","title":"TeleDoCTR: Domain-Specific and Contextual Troubleshooting for Telecommunications","created":"2026-01-02","cited_by_count":1,"area":null},{"id":"2602.10639","title":"VideoSTF: Stress-Testing Output Repetition in Video Large Language Models","created":"2026-02-11","cited_by_count":1,"area":null},{"id":"2605.05267","title":"Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code","created":"2026-05-06","cited_by_count":1,"area":null},{"id":"2605.00435","title":"Escaping Mode Collapse in LLM Generation via Geometric Regulation","created":"2026-05-01","cited_by_count":0,"area":null},{"id":"2609.04484","title":"Patterns of Priming in Production: Lexical, Semantic and Structural Alignment in Language Model Generation","created":"2026-09-03","cited_by_count":0,"area":null},{"id":"2609.29507","title":"What a Cross-Model Fixed-Point Census Can and Cannot Arbitrate About Repetition","created":"2026-08-24","cited_by_count":0,"area":null}],"next_cursor":null}