{"total":75,"rows":[{"id":"2303.18223","title":"A Survey of Large Language Models","created":"2023-03-31","cited_by_count":2576,"area":null},{"id":"2302.00923","title":"Multimodal Chain-of-Thought Reasoning in Language Models","created":"2023-02-02","cited_by_count":752,"area":"lr"},{"id":"2301.00234","title":"A Survey on In-context Learning","created":"2022-12-31","cited_by_count":721,"area":null},{"id":"2212.10403","title":"Towards Reasoning in Large Language Models: A Survey","created":"2022-12-20","cited_by_count":596,"area":"lr"},{"id":"2309.05653","title":"MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning","created":"2023-09-11","cited_by_count":487,"area":null},{"id":"2302.07842","title":"Augmented Language Models: a Survey","created":"2023-02-15","cited_by_count":403,"area":"lr"},{"id":"2212.09597","title":"Reasoning with Language Model Prompting: A Survey","created":"2022-12-19","cited_by_count":252,"area":"lr"},{"id":"2307.02477","title":"Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks","created":"2023-07-05","cited_by_count":246,"area":"lr"},{"id":"2406.02818","title":"Chain of Agents: Large Language Models Collaborating on Long-Context Tasks","created":"2024-06-04","cited_by_count":206,"area":"agents"},{"id":"2309.15402","title":"Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future","created":"2023-09-27","cited_by_count":184,"area":"lr"},{"id":"2404.07921","title":"AmpleGCG: Learning a Universal and Transferable Generative Model of Adversarial Suffixes for Jailbreaking Both Open and Closed LLMs","created":"2024-04-11","cited_by_count":172,"area":"safety"},{"id":"2312.16337","title":"Task Contamination: Language Models May Not Be Few-Shot Anymore","created":"2023-12-26","cited_by_count":99,"area":null},{"id":"2303.07971","title":"A Theory of Emergent In-Context Learning as Implicit Structure Induction","created":"2023-03-14","cited_by_count":86,"area":null},{"id":"2312.14890","title":"NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes","created":"2023-12-22","cited_by_count":79,"area":"lr"},{"id":"2405.15071","title":"Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization","created":"2024-05-23","cited_by_count":79,"area":"lr"},{"id":"2212.13894","title":"LAMBADA: Backward Chaining for Automated Reasoning in Natural Language","created":"2022-12-20","cited_by_count":66,"area":"lr"},{"id":"2310.04959","title":"Towards Better Chain-of-Thought Prompting Strategies: A Survey","created":"2023-10-08","cited_by_count":62,"area":"lr"},{"id":"2305.04533","title":"Prompted LLMs as Chatbot Modules for Long Open-domain Conversation","created":"2023-05-08","cited_by_count":61,"area":null},{"id":"2305.03453","title":"T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Mixed Large Language Model Signals for Science Question Answering","created":"2023-05-05","cited_by_count":60,"area":"lr"},{"id":"2303.17071","title":"DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents","created":"2023-03-30","cited_by_count":52,"area":"agents"},{"id":"2306.00024","title":"Self-Verification Improves Few-Shot Clinical Information Extraction","created":"2023-05-30","cited_by_count":52,"area":"lr"},{"id":"2303.02913","title":"OpenICL: An Open-Source Framework for In-context Learning","created":"2023-03-06","cited_by_count":51,"area":null},{"id":"2306.07934","title":"BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information","created":"2023-06-13","cited_by_count":44,"area":"lr"},{"id":"2304.05368","title":"Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding","created":"2023-04-09","cited_by_count":40,"area":null},{"id":"2401.07950","title":"SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models","created":"2024-01-15","cited_by_count":39,"area":null},{"id":"2407.07064","title":"Prompting Techniques for Secure Code Generation: A Systematic Investigation","created":"2024-07-09","cited_by_count":34,"area":null},{"id":"2408.00802","title":"Leveraging LLM Reasoning Enhances Personalized Recommender Systems","created":"2024-07-22","cited_by_count":28,"area":"lr"},{"id":"2310.10873","title":"IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models","created":"2023-10-16","cited_by_count":27,"area":null},{"id":"2307.11471","title":"Robust Visual Question Answering: Datasets, Methods, and Future Challenges","created":"2023-07-21","cited_by_count":23,"area":null},{"id":"2505.21116","title":"Creativity in LLM-based Multi-Agent Systems: A Survey","created":"2025-05-27","cited_by_count":23,"area":"agents"},{"id":"2410.17635","title":"Markov Chain of Thought for Efficient Mathematical Reasoning","created":"2024-10-23","cited_by_count":19,"area":"lr"},{"id":"2310.14034","title":"Tree Prompting: Efficient Task Adaptation without Fine-Tuning","created":"2023-10-21","cited_by_count":18,"area":null},{"id":"2312.11681","title":"Designing LLM Chains by Adapting Techniques from Crowdsourcing Workflows","created":"2023-12-18","cited_by_count":17,"area":null},{"id":"2401.10535","title":"The \"Colonial Impulse\" of Natural Language Processing: An Audit of Bengali Sentiment Analysis Tools and Their Identity-based Biases","created":"2024-01-19","cited_by_count":16,"area":null},{"id":"2310.05388","title":"GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence","created":"2023-10-09","cited_by_count":14,"area":"rag"},{"id":"2408.11875","title":"Hierarchical Retrieval-Augmented Generation Model with Rethink for Multi-hop Question Answering","created":"2024-08-20","cited_by_count":14,"area":"rag"},{"id":"2307.05337","title":"Explaining Competitive-Level Programming Solutions using LLMs","created":"2023-07-11","cited_by_count":13,"area":null},{"id":"2505.10218","title":"RAIDEN-R1: Improving Role-awareness of LLMs via GRPO with Verifiable Reward","created":"2025-05-15","cited_by_count":13,"area":"lr"},{"id":"2306.06212","title":"Aladdin: Zero-Shot Hallucination of Stylized 3D Assets from Abstract Scene Descriptions","created":"2023-06-09","cited_by_count":11,"area":null},{"id":"2311.05552","title":"The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm Generation","created":"2023-11-09","cited_by_count":11,"area":null},{"id":"2502.04667","title":"Compositional Generalization from Learned Skills via CoT Training: A Theoretical and Structural Analysis for Reasoning","created":"2025-02-07","cited_by_count":10,"area":"lr"},{"id":"2404.00152","title":"On-the-fly Definition Augmentation of LLMs for Biomedical NER","created":"2024-03-29","cited_by_count":9,"area":null},{"id":"2306.00667","title":"Predicting the Quality of Revisions in Argumentative Writing","created":"2023-06-01","cited_by_count":7,"area":null},{"id":"2402.14837","title":"An Empirical Categorization of Prompting Techniques for Large Language Models: A Practitioner's Guide","created":"2024-02-18","cited_by_count":7,"area":null},{"id":"2407.01983","title":"SADL: An Effective In-Context Learning Method for Compositional Visual QA","created":"2024-07-02","cited_by_count":5,"area":"mllm"},{"id":"2410.12843","title":"Exploring Prompt Engineering: A Systematic Review with SWOT Analysis","created":"2024-10-09","cited_by_count":5,"area":null},{"id":"2309.13059","title":"Beyond Traditional Teaching: The Potential of Large Language Models and Chatbots in Graduate Engineering Education","created":"2023-09-09","cited_by_count":4,"area":null},{"id":"2310.07488","title":"KwaiYiiMath: Technical Report","created":"2023-10-11","cited_by_count":4,"area":null},{"id":"2401.06877","title":"Promptly Predicting Structures: The Return of Inference","created":"2024-01-12","cited_by_count":4,"area":null},{"id":"2402.19350","title":"Prompting Explicit and Implicit Knowledge for Multi-hop Question Answering Based on Human Reading Process","created":"2024-02-29","cited_by_count":4,"area":null},{"id":"2406.13188","title":"Synthetic Context Generation for Question Generation","created":"2024-06-19","cited_by_count":4,"area":null},{"id":"2406.17873","title":"Improving Arithmetic Reasoning Ability of Large Language Models through Relation Tuples, Verification and Dynamic Feedback","created":"2024-06-25","cited_by_count":4,"area":"lr"},{"id":"2501.04341","title":"Understanding Before Reasoning: Enhancing Chain-of-Thought with Iterative Summarization Pre-Prompting","created":"2025-01-08","cited_by_count":4,"area":"lr"},{"id":"2505.08450","title":"IterKey: Iterative Keyword Generation with LLMs for Enhanced Retrieval Augmented Generation","created":"2025-05-13","cited_by_count":4,"area":"rag"},{"id":"2601.05899","title":"TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents","created":"2026-01-09","cited_by_count":4,"area":"agents"},{"id":"2310.18358","title":"A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models","created":"2023-10-24","cited_by_count":3,"area":null},{"id":"2403.19414","title":"BP4ER: Bootstrap Prompting for Explicit Reasoning in Medical Dialogue Generation","created":"2024-03-28","cited_by_count":3,"area":"lr"},{"id":"2604.21251","title":"CAP: Controllable Alignment Prompting for Unlearning in LLMs","created":"2026-04-23","cited_by_count":3,"area":"safety"},{"id":"2402.02388","title":"Solution-oriented Agent-based Models Generation with Verifier-assisted Iterative In-context Learning","created":"2024-02-04","cited_by_count":2,"area":"agents"},{"id":"2601.17593","title":"From Chains to DAGs: Probing the Graph Structure of Reasoning in LLMs","created":"2026-01-24","cited_by_count":2,"area":"lr"},{"id":"2305.00061","title":"Explainable Verbal Reasoner Plus (EVR+): A Natural Language Reasoning Framework that Supports Diverse Compositional Reasoning","created":"2023-04-28","cited_by_count":1,"area":"lr"},{"id":"2312.01656","title":"The Contemporary Art of Image Search: Iterative User Intent Expansion via Vision-Language Model","created":"2023-12-04","cited_by_count":1,"area":"mllm"},{"id":"2406.06561","title":"Brainstorming Brings Power to Large Language Models of Knowledge Reasoning","created":"2024-06-02","cited_by_count":1,"area":"lr"},{"id":"2407.00065","title":"A Personalised Learning Tool for Physics Undergraduate Students Built On a Large Language Model for Symbolic Regression","created":"2024-06-17","cited_by_count":1,"area":null},{"id":"2512.01113","title":"Efficiently Learning Branching Networks for Multitask Algorithmic Reasoning","created":"2025-11-30","cited_by_count":1,"area":"lr"},{"id":"2602.02881","title":"Learning-Infused Formal Reasoning: From Contract Synthesis to Artifact Reuse and Formal Semantics","created":"2026-02-02","cited_by_count":1,"area":"lr"},{"id":"2606.22158","title":"Improving Reasoning in Vision-Language Models via Perception Verified Self-Training","created":"2026-06-20","cited_by_count":1,"area":"lr"},{"id":"2402.18797","title":"ARTiST: Automated Text Simplification for Task Guidance in Augmented Reality","created":"2024-02-29","cited_by_count":0,"area":null},{"id":"2501.18320","title":"Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach","created":"2025-01-30","cited_by_count":0,"area":"agents"},{"id":"2502.05699","title":"Context information can be more important than reasoning for time series forecasting with a large language model","created":"2025-02-08","cited_by_count":0,"area":"lr"},{"id":"2502.15732","title":"Data Wrangling Task Automation Using Code-Generating Language Models","created":"2025-02-05","cited_by_count":0,"area":null},{"id":"2505.23848","title":"Derailing Non-Answers via Logit Suppression at Output Subspace Boundaries in RLHF-Aligned Language Models","created":"2025-05-28","cited_by_count":0,"area":"alignment"},{"id":"2506.06982","title":"Chain of Methodologies: Scaling Test Time Computation without Training","created":"2025-06-08","cited_by_count":0,"area":"lr"},{"id":"2506.14627","title":"Working Document -- Formalising Software Requirements with Large Language Models","created":"2025-06-17","cited_by_count":0,"area":null},{"id":"2508.04350","title":"Chain of Questions: Guiding Multimodal Curiosity in Language Models","created":"2025-08-06","cited_by_count":0,"area":"lr"}],"next_cursor":null}