{"total":39,"rows":[{"id":"2310.08491","title":"Prometheus: Inducing Fine-grained Evaluation Capability in Language Models","created":"2023-10-12","cited_by_count":575,"area":"alignment"},{"id":"2308.08998","title":"Reinforced Self-Training (ReST) for Language Modeling","created":"2023-08-17","cited_by_count":500,"area":"alignment"},{"id":"2401.08417","title":"Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation","created":"2024-01-16","cited_by_count":394,"area":"alignment"},{"id":"2404.10719","title":"Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study","created":"2024-04-16","cited_by_count":262,"area":"alignment"},{"id":"2310.10505","title":"ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models","created":"2023-10-16","cited_by_count":187,"area":"alignment"},{"id":"2404.08555","title":"RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs","created":"2024-04-12","cited_by_count":90,"area":"alignment"},{"id":"2009.06978","title":"Dialogue Response Ranking Training with Large-Scale Human Feedback Data","created":"2020-09-15","cited_by_count":68,"area":"alignment"},{"id":"2305.00955","title":"Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation","created":"2023-05-01","cited_by_count":55,"area":"alignment"},{"id":"2402.18091","title":"Polos: Multimodal Metric Learning from Human Feedback for Image Captioning","created":"2024-02-28","cited_by_count":46,"area":"alignment"},{"id":"2406.16768","title":"WARP: On the Benefits of Weight Averaged Rewarded Policies","created":"2024-06-24","cited_by_count":45,"area":"alignment"},{"id":"2311.09336","title":"LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback","created":"2023-11-15","cited_by_count":39,"area":"alignment"},{"id":"2401.12873","title":"Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model","created":"2024-01-23","cited_by_count":33,"area":"alignment"},{"id":"2310.03304","title":"Learning Personalized Alignment for Evaluating Open-ended Text Generation","created":"2023-10-05","cited_by_count":29,"area":"alignment"},{"id":"2311.08380","title":"Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding","created":"2023-11-14","cited_by_count":28,"area":"alignment"},{"id":"2409.08813","title":"Your Weak LLM is Secretly a Strong Teacher for Alignment","created":"2024-09-13","cited_by_count":20,"area":"alignment"},{"id":"2311.09132","title":"Aligning Neural Machine Translation Models: Human Feedback in Training and Inference","created":"2023-11-15","cited_by_count":19,"area":"alignment"},{"id":"2503.00231","title":"Jawaher: A Multidialectal Dataset of Arabic Proverbs for LLM Benchmarking","created":"2025-02-28","cited_by_count":18,"area":"alignment"},{"id":"2505.20622","title":"SeqPO-SiMT: Sequential Policy Optimization for Simultaneous Machine Translation","created":"2025-05-27","cited_by_count":13,"area":"alignment"},{"id":"2411.05986","title":"Fine-Grained Reward Optimization for Machine Translation using Error Severity Mappings","created":"2024-11-08","cited_by_count":11,"area":"alignment"},{"id":"2504.13630","title":"Remedy: Learning Machine Translation Evaluation from Human Preferences with Reward Modeling","created":"2025-04-18","cited_by_count":9,"area":"alignment"},{"id":"2409.17431","title":"On Extending Direct Preference Optimization to Accommodate Ties","created":"2024-09-25","cited_by_count":8,"area":"alignment"},{"id":"2508.14460","title":"DuPO: Enabling Reliable LLM Self-Verification via Dual Preference Optimization","created":"2025-08-20","cited_by_count":7,"area":"alignment"},{"id":"2409.17673","title":"Cross-lingual Human-Preference Alignment for Neural Machine Translation with Direct Quality Optimization","created":"2024-09-26","cited_by_count":5,"area":"alignment"},{"id":"2403.15469","title":"Isometric Neural Machine Translation using Phoneme Count Ratio Reward-based Reinforcement Learning","created":"2024-03-20","cited_by_count":4,"area":"alignment"},{"id":"2409.20059","title":"Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis","created":"2024-09-30","cited_by_count":4,"area":"alignment"},{"id":"2506.05070","title":"RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation","created":"2025-06-05","cited_by_count":4,"area":"alignment"},{"id":"2405.13541","title":"Annotation-Efficient Language Model Alignment via Diverse and Representative Response Texts","created":"2024-05-22","cited_by_count":3,"area":"alignment"},{"id":"2407.12847","title":"Aligning Model Evaluations with Human Preferences: Mitigating Token Count Bias in Language Model Assessments","created":"2024-07-05","cited_by_count":3,"area":"alignment"},{"id":"2501.13927","title":"CRPO: Confidence-Reward Driven Preference Optimization for Machine Translation","created":"2025-01-23","cited_by_count":3,"area":"alignment"},{"id":"2505.17558","title":"Teaching with Lies: Curriculum DPO on Synthetic Negatives for Hallucination Detection","created":"2025-05-23","cited_by_count":3,"area":"alignment"},{"id":"2601.12535","title":"Improving Low-Resource Machine Translation via Round-Trip Reinforcement Learning","created":"2026-01-18","cited_by_count":3,"area":"alignment"},{"id":"2510.03231","title":"Reward Models are Metrics in a Trench Coat","created":"2025-10-03","cited_by_count":2,"area":"alignment"},{"id":"2406.18245","title":"Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems","created":"2024-06-26","cited_by_count":0,"area":"alignment"},{"id":"2410.11410","title":"PMMT: Preference Alignment in Multilingual Machine Translation via LLM Distillation","created":"2024-10-15","cited_by_count":0,"area":"alignment"},{"id":"2505.16003","title":"SLMEval: Entropy-Based Calibration for Human-Aligned Evaluation of Large Language Models","created":"2025-05-21","cited_by_count":0,"area":"alignment"},{"id":"2602.15338","title":"Discovering Implicit Large Language Model Alignment Objectives","created":"2026-02-17","cited_by_count":0,"area":"alignment"},{"id":"2602.23603","title":"LFQA-HP-1M: A Large-Scale Human Preference Dataset for Long-Form Question Answering","created":"2026-02-27","cited_by_count":0,"area":"alignment"},{"id":"2603.21359","title":"Benchmarking Bengali Dialectal Bias: A Multi-Stage Framework Integrating RAG-Based Translation and Human-Augmented RLAIF","created":"2026-03-22","cited_by_count":0,"area":"alignment"},{"id":"2604.24429","title":"A Multi-Dimensional Audit of Politically Aligned Large Language Models","created":"2026-04-27","cited_by_count":0,"area":"alignment"}],"next_cursor":null}