{"list":"other","total":70,"rows":[{"id":"2303.08774","title":"GPT-4 Technical Report","created":"2023-03-15","cited_by_count":18396},{"id":"1707.06347","title":"Proximal Policy Optimization Algorithms","created":"2017-07-20","cited_by_count":15215},{"id":"2407.21783","title":"The Llama 3 Herd of Models","created":"2024-07-31","cited_by_count":14715},{"id":"1907.11692","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","created":"2019-07-26","cited_by_count":13372},{"id":"2110.14168","title":"Training Verifiers to Solve Math Word Problems","created":"2021-10-27","cited_by_count":10109},{"id":"2402.03300","title":"DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models","created":"2024-02-05","cited_by_count":9379},{"id":"2107.03374","title":"Evaluating Large Language Models Trained on Code","created":"2021-07-07","cited_by_count":8320},{"id":"2009.03300","title":"Measuring Massive Multitask Language Understanding","created":"2020-09-07","cited_by_count":7963},{"id":"2501.12948","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","created":"2025-01-22","cited_by_count":6330},{"id":"2412.15115","title":"Qwen2.5 Technical Report","created":"2024-12-19","cited_by_count":4942},{"id":"2108.07732","title":"Program Synthesis with Large Language Models","created":"2021-08-16","cited_by_count":3637},{"id":"1502.05477","title":"Trust Region Policy Optimization","created":"2015-02-19","cited_by_count":2580},{"id":"1702.08734","title":"Billion-scale similarity search with GPUs","created":"2017-02-28","cited_by_count":2497},{"id":"2104.08821","title":"SimCSE: Simple Contrastive Learning of Sentence Embeddings","created":"2021-04-18","cited_by_count":2173},{"id":"1611.09268","title":"MS MARCO: A Human Generated MAchine Reading COmprehension Dataset","created":"2016-11-28","cited_by_count":1605},{"id":"2503.09516","title":"Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning","created":"2025-03-12","cited_by_count":1444},{"id":"2104.08663","title":"BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models","created":"2021-04-17","cited_by_count":1252},{"id":"2311.07911","title":"Instruction-Following Evaluation for Large Language Models","created":"2023-11-14","cited_by_count":1228},{"id":"1808.09781","title":"Self-Attentive Sequential Recommendation","created":"2018-08-20","cited_by_count":1184},{"id":"2004.12832","title":"ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT","created":"2020-04-27","cited_by_count":1178},{"id":"2212.10496","title":"Precise Zero-Shot Dense Retrieval without Relevance Labels","created":"2022-12-20","cited_by_count":517},{"id":"2203.13366","title":"Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)","created":"2022-03-24","cited_by_count":402},{"id":"2305.00447","title":"TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation","created":"2023-04-30","cited_by_count":337},{"id":"2305.08845","title":"Large Language Models are Zero-Shot Rankers for Recommender Systems","created":"2023-05-15","cited_by_count":309},{"id":"2303.14524","title":"Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System","created":"2023-03-25","cited_by_count":242},{"id":"2403.03952","title":"Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders","created":"2024-03-06","cited_by_count":224},{"id":"2305.07001","title":"Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach","created":"2023-05-11","cited_by_count":168},{"id":"2310.15950","title":"Representation Learning with Large Language Models for Recommendation","created":"2023-10-24","cited_by_count":155},{"id":"2205.08084","title":"M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems","created":"2022-05-17","cited_by_count":152},{"id":"2306.05817","title":"How Can Recommender Systems Benefit from Large Language Models: A Survey","created":"2023-06-09","cited_by_count":142},{"id":"2308.10053","title":"Large Language Models as Zero-Shot Conversational Recommenders","created":"2023-08-19","cited_by_count":127},{"id":"2206.05941","title":"Towards Universal Sequence Representation Learning for Recommender Systems","created":"2022-06-13","cited_by_count":121},{"id":"2305.07609","title":"Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation","created":"2023-05-12","cited_by_count":114},{"id":"2304.03879","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","created":"2023-04-08","cited_by_count":103},{"id":"2305.07622","title":"PALR: Personalization Aware LLMs for Recommendation","created":"2023-05-12","cited_by_count":96},{"id":"2010.04125","title":"Towards Topic-Guided Conversational Recommender System","created":"2020-10-08","cited_by_count":94},{"id":"2307.15780","title":"LLM-Rec: Personalized Recommendation via Prompting Large Language Models","created":"2023-07-24","cited_by_count":77},{"id":"2303.06573","title":"Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search","created":"2023-03-12","cited_by_count":75},{"id":"2306.10933","title":"Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models","created":"2023-06-19","cited_by_count":74},{"id":"1802.06501","title":"Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning","created":"2018-02-19","cited_by_count":71},{"id":"2310.09716","title":"Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting","created":"2023-10-15","cited_by_count":69},{"id":"2206.06588","title":"Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search","created":"2022-06-14","cited_by_count":65},{"id":"2307.00457","title":"GenRec: Large Language Model for Generative Recommendation","created":"2023-07-02","cited_by_count":63},{"id":"2311.03758","title":"Large Language Model based Long-tail Query Rewriting in Taobao Search","created":"2023-11-07","cited_by_count":62},{"id":"2312.02445","title":"LLaRA: Large Language-Recommendation Assistant","created":"2023-12-05","cited_by_count":56},{"id":"2006.05779","title":"Self-Supervised Reinforcement Learning for Recommender Systems","created":"2020-06-10","cited_by_count":49},{"id":"2308.06966","title":"EcomGPT: Instruction-tuning Large Language Models with Chain-of-Task Tasks for E-commerce","created":"2023-08-14","cited_by_count":49},{"id":"2312.16018","title":"RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation","created":"2023-12-26","cited_by_count":36},{"id":"2106.08934","title":"Personalized News Recommendation: Methods and Challenges","created":"2021-06-16","cited_by_count":30},{"id":"2401.13870","title":"Integrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation","created":"2024-01-25","cited_by_count":26},{"id":"2009.04964","title":"News Recommender System: A review of recent progress, challenges, and opportunities","created":"2020-09-10","cited_by_count":24},{"id":"2402.11827","title":"Ask Optimal Questions: Aligning Large Language Models with Retriever's Preference in Conversation","created":"2024-02-19","cited_by_count":23},{"id":"2304.13157","title":"Generative Relevance Feedback with Large Language Models","created":"2023-04-25","cited_by_count":20},{"id":"2309.03613","title":"Evaluating ChatGPT as a Recommender System: A Rigorous Approach","created":"2023-09-07","cited_by_count":20},{"id":"2403.05063","title":"Aligning Large Language Models for Controllable Recommendations","created":"2024-03-08","cited_by_count":19},{"id":"2312.15450","title":"Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-agent LLM","created":"2023-12-24","cited_by_count":18},{"id":"2302.03431","title":"Exploration and Regularization of the Latent Action Space in Recommendation","created":"2023-02-07","cited_by_count":17},{"id":"2405.16546","title":"Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration","created":"2024-05-26","cited_by_count":17},{"id":"2406.10991","title":"Adaptive Query Rewriting: Aligning Rewriters through Marginal Probability of Conversational Answers","created":"2024-06-16","cited_by_count":15},{"id":"2307.02157","title":"Generative Job Recommendations with Large Language Model","created":"2023-07-05","cited_by_count":13},{"id":"2312.16275","title":"Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models","created":"2023-12-26","cited_by_count":13},{"id":"2206.07353","title":"Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective","created":"2022-06-15","cited_by_count":10},{"id":"2407.11007","title":"Panacea: A foundation model for clinical trial search, summarization, design, and recruitment","created":"2024-06-25","cited_by_count":10},{"id":"2111.03474","title":"Supervised Advantage Actor-Critic for Recommender Systems","created":"2021-11-05","cited_by_count":8},{"id":"2210.07093","title":"Query Expansion Using Contextual Clue Sampling with Language Models","created":"2022-10-13","cited_by_count":5},{"id":"2311.01314","title":"Recommendations by Concise User Profiles from Review Text","created":"2023-11-02","cited_by_count":5},{"id":"2310.06176","title":"Factual and Personalized Recommendations using Language Models and Reinforcement Learning","created":"2023-10-09","cited_by_count":4},{"id":"2410.05939","title":"Direct Preference Optimization for LLM-Enhanced Recommendation Systems","created":"2024-10-08","cited_by_count":4},{"id":"2307.01207","title":"Recommender Systems for Online and Mobile Social Networks: A survey","created":"2023-06-28","cited_by_count":3},{"id":"2305.11081","title":"Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems","created":"2023-05-18","cited_by_count":2}],"next_cursor":null}