{"total":94,"rows":[{"id":"2302.00539","title":"Analyzing Leakage of Personally Identifiable Information in Language Models","created":"2023-02-01","cited_by_count":285,"area":"safety"},{"id":"2211.00053","title":"Generating Sequences by Learning to Self-Correct","created":"2022-10-31","cited_by_count":277,"area":null},{"id":"2202.11705","title":"COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics","created":"2022-02-23","cited_by_count":161,"area":null},{"id":"2112.08726","title":"NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics","created":"2021-12-16","cited_by_count":154,"area":null},{"id":"2105.04387","title":"Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey","created":"2021-05-10","cited_by_count":130,"area":null},{"id":"2103.10432","title":"MARS: Markov Molecular Sampling for Multi-objective Drug Discovery","created":"2021-03-18","cited_by_count":125,"area":null},{"id":"2302.08215","title":"Aligning Language Models with Preferences through f-divergence Minimization","created":"2023-02-16","cited_by_count":120,"area":"alignment"},{"id":"2310.04363","title":"Amortizing intractable inference in large language models","created":"2023-10-06","cited_by_count":97,"area":null},{"id":"2107.02794","title":"Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning","created":"2021-07-06","cited_by_count":85,"area":null},{"id":"2306.03081","title":"Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs","created":"2023-06-05","cited_by_count":80,"area":null},{"id":"2109.09707","title":"A Plug-and-Play Method for Controlled Text Generation","created":"2021-09-20","cited_by_count":56,"area":null},{"id":"2506.09018","title":"Edit Flows: Flow Matching with Edit Operations","created":"2025-06-10","cited_by_count":55,"area":"diffusion"},{"id":"2504.13139","title":"Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo","created":"2025-04-17","cited_by_count":46,"area":null},{"id":"2403.15734","title":"Space Group Informed Transformer for Crystalline Materials Generation","created":"2024-03-23","cited_by_count":41,"area":null},{"id":"2110.08294","title":"Coherence boosting: When your pretrained language model is not paying enough attention","created":"2021-10-15","cited_by_count":38,"area":null},{"id":"2409.00598","title":"Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models","created":"2024-09-01","cited_by_count":35,"area":"alignment"},{"id":"2305.16635","title":"Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing","created":"2023-05-26","cited_by_count":31,"area":null},{"id":"2205.12374","title":"Learning to Model Editing Processes","created":"2022-05-24","cited_by_count":30,"area":null},{"id":"2203.05227","title":"Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methods","created":"2022-03-10","cited_by_count":27,"area":null},{"id":"2109.12487","title":"Parallel Refinements for Lexically Constrained Text Generation with BART","created":"2021-09-26","cited_by_count":24,"area":null},{"id":"2504.03790","title":"Sample, Don't Search: Rethinking Test-Time Alignment for Language Models","created":"2025-04-04","cited_by_count":22,"area":"lr"},{"id":"2206.05395","title":"Why is constrained neural language generation particularly challenging?","created":"2022-06-11","cited_by_count":19,"area":null},{"id":"2108.03405","title":"Controllable Summarization with Constrained Markov Decision Process","created":"2021-08-07","cited_by_count":17,"area":null},{"id":"2204.07359","title":"Text Revision by On-the-Fly Representation Optimization","created":"2022-04-15","cited_by_count":17,"area":null},{"id":"2503.09790","title":"Constrained Discrete Diffusion","created":"2025-03-12","cited_by_count":17,"area":"diffusion"},{"id":"2301.11997","title":"Prompt-Based Editing for Text Style Transfer","created":"2023-01-27","cited_by_count":16,"area":null},{"id":"2406.00049","title":"QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation","created":"2024-05-28","cited_by_count":16,"area":null},{"id":"2104.06669","title":"NAREOR: The Narrative Reordering Problem","created":"2021-04-14","cited_by_count":14,"area":null},{"id":"2301.12660","title":"Zero-shot Clarifying Question Generation for Conversational Search","created":"2023-01-30","cited_by_count":14,"area":null},{"id":"2109.00363","title":"ConRPG: Paraphrase Generation using Contexts as Regularizer","created":"2021-09-01","cited_by_count":13,"area":null},{"id":"2205.14522","title":"A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization","created":"2022-05-28","cited_by_count":13,"area":null},{"id":"2310.07075","title":"Don't Fine-Tune, Decode: Syntax Error-Free Tool Use via Constrained Decoding","created":"2023-10-10","cited_by_count":13,"area":"agents"},{"id":"2312.05180","title":"PathFinder: Guided Search over Multi-Step Reasoning Paths","created":"2023-12-08","cited_by_count":12,"area":"lr"},{"id":"2506.13579","title":"Flexible-length Text Infilling for Discrete Diffusion Models","created":"2025-06-16","cited_by_count":12,"area":"diffusion"},{"id":"2210.08708","title":"Teacher Forcing Recovers Reward Functions for Text Generation","created":"2022-10-17","cited_by_count":11,"area":null},{"id":"2211.00727","title":"Quantum Natural Language Generation on Near-Term Devices","created":"2022-11-01","cited_by_count":11,"area":null},{"id":"2103.12777","title":"Unsupervised Contextual Paraphrase Generation using Lexical Control and Reinforcement Learning","created":"2021-03-23","cited_by_count":10,"area":null},{"id":"2109.05797","title":"Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet","created":"2021-09-13","cited_by_count":10,"area":null},{"id":"2109.03892","title":"Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models","created":"2021-09-08","cited_by_count":9,"area":null},{"id":"2211.12130","title":"Converge to the Truth: Factual Error Correction via Iterative Constrained Editing","created":"2022-11-22","cited_by_count":9,"area":null},{"id":"2406.01124","title":"Latent Logic Tree Extraction for Event Sequence Explanation from LLMs","created":"2024-06-03","cited_by_count":9,"area":null},{"id":"2108.06643","title":"SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation","created":"2021-08-15","cited_by_count":8,"area":null},{"id":"2112.05417","title":"Unsupervised Editing for Counterfactual Stories","created":"2021-12-10","cited_by_count":8,"area":null},{"id":"2402.03131","title":"Constrained Decoding for Cross-lingual Label Projection","created":"2024-02-05","cited_by_count":8,"area":null},{"id":"2108.08485","title":"Language Model Augmented Relevance Score","created":"2021-08-19","cited_by_count":7,"area":null},{"id":"2509.00834","title":"Neuro-Symbolic Predictive Process Monitoring","created":"2025-08-31","cited_by_count":7,"area":null},{"id":"2105.11018","title":"Controlling Text Edition by Changing Answers of Specific Questions","created":"2021-05-23","cited_by_count":6,"area":null},{"id":"2209.13885","title":"UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation","created":"2022-09-28","cited_by_count":6,"area":null},{"id":"2211.08387","title":"AutoTemplate: A Simple Recipe for Lexically Constrained Text Generation","created":"2022-11-15","cited_by_count":6,"area":null},{"id":"2101.11349","title":"Triangular Bidword Generation for Sponsored Search Auction","created":"2021-01-27","cited_by_count":5,"area":null},{"id":"2110.01384","title":"Simulated annealing for optimization of graphs and sequences","created":"2021-10-01","cited_by_count":5,"area":null},{"id":"2205.07352","title":"Long-term Control for Dialogue Generation: Methods and Evaluation","created":"2022-05-15","cited_by_count":5,"area":null},{"id":"2211.11160","title":"Unsupervised Explanation Generation via Correct Instantiations","created":"2022-11-21","cited_by_count":5,"area":null},{"id":"2410.10810","title":"Local and Global Decoding in Text Generation","created":"2024-10-14","cited_by_count":5,"area":null},{"id":"2504.09135","title":"Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models","created":"2025-04-12","cited_by_count":5,"area":null},{"id":"2310.14863","title":"Paraphrase Types for Generation and Detection","created":"2023-10-23","cited_by_count":4,"area":null},{"id":"2402.07788","title":"Multi-Intent Attribute-Aware Text Matching in Searching","created":"2024-02-12","cited_by_count":4,"area":null},{"id":"2501.18649","title":"Fake News Detection After LLM Laundering: Measurement and Explanation","created":"2025-01-29","cited_by_count":4,"area":null},{"id":"2505.01954","title":"Semantic Probabilistic Control of Language Models","created":"2025-05-04","cited_by_count":4,"area":null},{"id":"2103.09548","title":"ENCONTER: Entity Constrained Progressive Sequence Generation via Insertion-based Transformer","created":"2021-03-17","cited_by_count":3,"area":null},{"id":"2109.10715","title":"Simulated Annealing for Emotional Dialogue Systems","created":"2021-09-22","cited_by_count":3,"area":null},{"id":"2109.12457","title":"Learning to Selectively Learn for Weakly-supervised Paraphrase Generation","created":"2021-09-25","cited_by_count":3,"area":null},{"id":"2203.10483","title":"Entailment Relation Aware Paraphrase Generation","created":"2022-03-20","cited_by_count":3,"area":null},{"id":"2212.03747","title":"Harnessing Knowledge and Reasoning for Human-Like Natural Language Generation: A Brief Review","created":"2022-12-07","cited_by_count":3,"area":null},{"id":"2506.09701","title":"ABS: Enforcing Constraint Satisfaction On Generated Sequences Via Automata-Guided Beam Search","created":"2025-06-11","cited_by_count":3,"area":null},{"id":"2603.05432","title":"Ensembling Language Models with Sequential Monte Carlo","created":"2026-03-05","cited_by_count":3,"area":null},{"id":"2103.04941","title":"InFillmore: Frame-Guided Language Generation with Bidirectional Context","created":"2021-03-08","cited_by_count":2,"area":null},{"id":"2104.08724","title":"Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation","created":"2021-04-18","cited_by_count":2,"area":null},{"id":"2112.01651","title":"Multi-modal application: Image Memes Generation","created":"2021-12-03","cited_by_count":2,"area":null},{"id":"2112.05702","title":"Sampling from Discrete Energy-Based Models with Quality/Efficiency Trade-offs","created":"2021-12-10","cited_by_count":2,"area":null},{"id":"2211.14540","title":"Lexical Complexity Controlled Sentence Generation","created":"2022-11-26","cited_by_count":2,"area":null},{"id":"2308.13696","title":"On the Depth between Beam Search and Exhaustive Search for Text Generation","created":"2023-08-25","cited_by_count":2,"area":null},{"id":"2412.17111","title":"Learning to Adapt to Low-Resource Paraphrase Generation","created":"2024-12-22","cited_by_count":2,"area":null},{"id":"2209.07752","title":"PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification data for Learning Enhanced generation","created":"2022-09-16","cited_by_count":1,"area":null},{"id":"2309.09497","title":"Search and Learning for Unsupervised Text Generation","created":"2023-09-18","cited_by_count":1,"area":null},{"id":"2404.15877","title":"Effective Unsupervised Constrained Text Generation based on Perturbed Masking","created":"2024-04-24","cited_by_count":1,"area":null},{"id":"2409.19247","title":"Edit-Constrained Decoding for Sentence Simplification","created":"2024-09-28","cited_by_count":1,"area":null},{"id":"2511.03827","title":"STARS: Synchronous Token Alignment for Robust Supervision in Large Language Models","created":"2025-11-05","cited_by_count":1,"area":"alignment"},{"id":"2606.15793","title":"Proximal Policy Optimization for Amortized Discrete Sampling","created":"2026-06-14","cited_by_count":1,"area":"deeprl"},{"id":"2107.09274","title":"Paraphrasing via Ranking Many Candidates","created":"2021-07-20","cited_by_count":0,"area":null},{"id":"2109.02950","title":"Paraphrase Generation as Unsupervised Machine Translation","created":"2021-09-07","cited_by_count":0,"area":null},{"id":"2203.12106","title":"An Empirical Study on Learning and Improving the Search Objective for Unsupervised Paraphrasing","created":"2022-03-23","cited_by_count":0,"area":null},{"id":"2310.16319","title":"DiQAD: A Benchmark Dataset for End-to-End Open-domain Dialogue Assessment","created":"2023-10-25","cited_by_count":0,"area":null},{"id":"2310.16343","title":"Evaluating, Understanding, and Improving Constrained Text Generation for Large Language Models","created":"2023-10-25","cited_by_count":0,"area":null},{"id":"2504.03337","title":"QIRL: Optimized Question-Image Relation Learning for Bias-Robust Visual Question Answering","created":"2025-04-04","cited_by_count":0,"area":null},{"id":"2507.03415","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","created":"2025-07-04","cited_by_count":0,"area":null},{"id":"2604.27039","title":"Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling","created":"2026-04-29","cited_by_count":0,"area":null},{"id":"2605.00930","title":"CellxPert: Inference-Time MCMC Steering of a Multi-Omics Single-Cell Foundation Model for In-Silico Perturbation","created":"2026-04-30","cited_by_count":0,"area":null},{"id":"2606.08312","title":"Neuro-Symbolic Injection of LTLf Constraints in Autoregressive Reinforcement Learning Policies","created":"2026-06-06","cited_by_count":0,"area":"offlinerl"},{"id":"2606.19264","title":"Structured Inference with Large Language Gibbs","created":"2026-06-17","cited_by_count":0,"area":null},{"id":"2607.22961","title":"Verbalized Particle Posterior: Bayesian Inference over Natural Language Hypotheses","created":"2026-07-25","cited_by_count":0,"area":null},{"id":"2608.17866","title":"BayesPrompt: human readable prompts that make sense","created":"2026-08-18","cited_by_count":0,"area":null},{"id":"2609.39368","title":"Making Grid Beam Search Less Greedy","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.19561","title":"REWIND: Uncertainty-Guided Trajectory Repair for Test-Time Reasoning","created":"2026-10-14","cited_by_count":0,"area":"lr"}],"next_cursor":null}