{"total":59,"rows":[{"id":"2210.15097","title":"Contrastive Decoding: Open-ended Text Generation as Optimization","created":"2022-10-27","cited_by_count":609,"area":null},{"id":"2302.05737","title":"A Reparameterized Discrete Diffusion Model for Text Generation","created":"2023-02-11","cited_by_count":152,"area":"diffusion"},{"id":"2212.09803","title":"Training Trajectories of Language Models Across Scales","created":"2022-12-19","cited_by_count":81,"area":null},{"id":"2309.07098","title":"Mitigating Hallucinations and Off-target Machine Translation with Source-Contrastive and Language-Contrastive Decoding","created":"2023-09-13","cited_by_count":42,"area":null},{"id":"2310.10226","title":"Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective","created":"2023-10-16","cited_by_count":39,"area":null},{"id":"2406.14479","title":"Tracing Representation Progression: Analyzing and Enhancing Layer-Wise Similarity","created":"2024-06-20","cited_by_count":36,"area":null},{"id":"2407.18698","title":"Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation","created":"2024-07-26","cited_by_count":27,"area":null},{"id":"2410.06097","title":"Decoding Decoded: Understanding Hyperparameter Effects in Open-Ended Text Generation","created":"2024-10-08","cited_by_count":26,"area":null},{"id":"2304.08637","title":"An Evaluation on Large Language Model Outputs: Discourse and Memorization","created":"2023-04-17","cited_by_count":20,"area":null},{"id":"2303.04729","title":"Stealing the Decoding Algorithms of Language Models","created":"2023-03-08","cited_by_count":19,"area":null},{"id":"2310.15326","title":"Specialist or Generalist? Instruction Tuning for Specific NLP Tasks","created":"2023-10-23","cited_by_count":17,"area":null},{"id":"2211.10797","title":"An Empirical Study On Contrastive Search And Contrastive Decoding For Open-ended Text Generation","created":"2022-11-19","cited_by_count":14,"area":null},{"id":"2310.14971","title":"Penalty Decoding: Well Suppress the Self-Reinforcement Effect in Open-Ended Text Generation","created":"2023-10-23","cited_by_count":13,"area":null},{"id":"2403.13000","title":"Duwak: Dual Watermarks in Large Language Models","created":"2024-03-12","cited_by_count":11,"area":"safety"},{"id":"2406.07735","title":"REAL Sampling: Boosting Factuality and Diversity of Open-Ended Generation via Asymptotic Entropy","created":"2024-06-11","cited_by_count":11,"area":null},{"id":"2402.17532","title":"Retrieval is Accurate Generation","created":"2024-02-27","cited_by_count":10,"area":null},{"id":"2410.18653","title":"Towards Better Open-Ended Text Generation: A Multicriteria Evaluation Framework","created":"2024-10-24","cited_by_count":9,"area":null},{"id":"2310.14981","title":"Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text Generation","created":"2023-10-23","cited_by_count":8,"area":null},{"id":"2406.17377","title":"A Three-Pronged Approach to Cross-Lingual Adaptation with Multilingual LLMs","created":"2024-06-25","cited_by_count":6,"area":null},{"id":"2501.17295","title":"Mitigating Hallucinated Translations in Large Language Models with Hallucination-focused Preference Optimization","created":"2025-01-28","cited_by_count":6,"area":"alignment"},{"id":"2502.14581","title":"A Statistical Case Against Empirical Human-AI Alignment","created":"2025-02-20","cited_by_count":6,"area":null},{"id":"2212.05093","title":"Plug-and-Play Recipe Generation with Content Planning","created":"2022-12-09","cited_by_count":5,"area":null},{"id":"2506.08566","title":"Generating Vision-Language Navigation Instructions Incorporated Fine-Grained Alignment Annotations","created":"2025-06-10","cited_by_count":5,"area":null},{"id":"2510.26697","title":"The End of Manual Decoding: Towards Truly End-to-End Language Models","created":"2025-10-30","cited_by_count":5,"area":null},{"id":"2212.02175","title":"Momentum Decoding: Open-ended Text Generation As Graph Exploration","created":"2022-12-05","cited_by_count":4,"area":null},{"id":"2402.10675","title":"German Text Simplification: Finetuning Large Language Models with Semi-Synthetic Data","created":"2024-02-16","cited_by_count":4,"area":"synth"},{"id":"2406.12527","title":"FuseGen: PLM Fusion for Data-generation based Zero-shot Learning","created":"2024-06-18","cited_by_count":4,"area":null},{"id":"2411.06251","title":"Quasi-random Multi-Sample Inference for Large Language Models","created":"2024-11-09","cited_by_count":4,"area":null},{"id":"2412.03343","title":"Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning","created":"2024-12-04","cited_by_count":4,"area":null},{"id":"2503.08057","title":"Odysseus Navigates the Sirens' Song: Dynamic Focus Decoding for Factual and Diverse Open-Ended Text Generation","created":"2025-03-11","cited_by_count":4,"area":null},{"id":"2305.13504","title":"Neural Machine Translation for Code Generation","created":"2023-05-22","cited_by_count":3,"area":null},{"id":"2401.10353","title":"Inconsistent dialogue responses and how to recover from them","created":"2024-01-18","cited_by_count":3,"area":null},{"id":"2509.16696","title":"Decoding Uncertainty: The Impact of Decoding Strategies for Uncertainty Estimation in Large Language Models","created":"2025-09-20","cited_by_count":3,"area":null},{"id":"2602.10346","title":"Geometry-Aware Decoding with Wasserstein-Regularized Truncation and Mass Penalties for Large Language Models","created":"2026-02-10","cited_by_count":3,"area":null},{"id":"2603.18482","title":"The Truncation Blind Spot: How Decoding Strategies Systematically Exclude Human-Like Token Choices","created":"2026-03-19","cited_by_count":3,"area":null},{"id":"2307.05162","title":"SuryaKiran at MEDIQA-Sum 2023: Leveraging LoRA for Clinical Dialogue Summarization","created":"2023-07-11","cited_by_count":2,"area":null},{"id":"2504.21020","title":"Context-Enhanced Contrastive Search for Improved LLM Text Generation","created":"2025-04-22","cited_by_count":2,"area":null},{"id":"2507.10419","title":"Multiple Choice Learning of Low-Rank Adapters for Language Modeling","created":"2025-07-14","cited_by_count":2,"area":null},{"id":"2605.11128","title":"Sampling More, Getting Less: Calibration is the Diversity Bottleneck in LLMs","created":"2026-05-11","cited_by_count":2,"area":null},{"id":"2605.29626","title":"DLM-SWAI: Steering Diffusion Language Models Before They Unmask","created":"2026-05-28","cited_by_count":2,"area":"diffusion"},{"id":"2606.10302","title":"Where You Inject Diversity Matters: A Unified Framework for Diverse Generation","created":"2026-06-09","cited_by_count":2,"area":null},{"id":"2310.08130","title":"Fine-grained Conversational Decoding via Isotropic and Proximal Search","created":"2023-10-12","cited_by_count":1,"area":null},{"id":"2310.09767","title":"VLIS: Unimodal Language Models Guide Multimodal Language Generation","created":"2023-10-15","cited_by_count":1,"area":"mllm"},{"id":"2507.20077","title":"The Devil is in the EOS: Sequence Training for Detailed Image Captioning","created":"2025-07-26","cited_by_count":1,"area":"mllm"},{"id":"2508.15371","title":"Confidence-Modulated Speculative Decoding for Large Language Models","created":"2025-08-21","cited_by_count":1,"area":"inference"},{"id":"2604.17323","title":"A Universal Avoidance Method for Diverse Multi-branch Generation","created":"2026-04-19","cited_by_count":1,"area":null},{"id":"2304.01634","title":"De-novo Identification of Small Molecules from Their GC-EI-MS Spectra","created":"2023-04-04","cited_by_count":0,"area":null},{"id":"2305.18023","title":"Abstractive Summarization as Augmentation for Document-Level Event Detection","created":"2023-05-29","cited_by_count":0,"area":null},{"id":"2312.09907","title":"Exploring Automatic Text Simplification of German Narrative Documents","created":"2023-12-15","cited_by_count":0,"area":null},{"id":"2405.03007","title":"On the performativity of SDG classifications in large bibliometric databases","created":"2024-05-05","cited_by_count":0,"area":null},{"id":"2407.02819","title":"Efficient Training of Language Models with Compact and Consistent Next Token Distributions","created":"2024-07-03","cited_by_count":0,"area":null},{"id":"2410.12292","title":"How much do contextualized representations encode long-range context?","created":"2024-10-16","cited_by_count":0,"area":null},{"id":"2512.05677","title":"Empirical Decision Theory","created":"2025-12-05","cited_by_count":0,"area":null},{"id":"2601.21744","title":"Temporal Guidance for Large Language Models","created":"2026-01-29","cited_by_count":0,"area":null},{"id":"2602.11179","title":"From Instruction to Output: The Role of Prompting in Modern NLG","created":"2026-01-21","cited_by_count":0,"area":null},{"id":"2605.09492","title":"APCD: Adaptive Path-Contrastive Decoding for Reliable Large Language Model Generation","created":"2026-05-10","cited_by_count":0,"area":null},{"id":"2608.12549","title":"StrAD: A Streaming Method and Benchmark for Audio Description Generation for Long-form Videos","created":"2026-08-12","cited_by_count":0,"area":null},{"id":"2608.14797","title":"Beyond Tokens: A Survey on Decoding Methods for Large Language and Vision-Language Models","created":"2026-08-14","cited_by_count":0,"area":"mllm"},{"id":"2609.30492","title":"Breaking Homogeneity: Diversifying Persona Sets for Creative LLM Outputs","created":"2026-09-24","cited_by_count":0,"area":null}],"next_cursor":null}