{"total":142,"rows":[{"id":"2405.06211","title":"A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models","created":"2024-05-10","cited_by_count":452,"area":"rag"},{"id":"2305.14160","title":"Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning","created":"2023-05-23","cited_by_count":236,"area":null},{"id":"2402.14207","title":"Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models","created":"2024-02-22","cited_by_count":154,"area":null},{"id":"2312.01823","title":"Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication","created":"2023-12-04","cited_by_count":82,"area":"lr"},{"id":"2310.09881","title":"In-Context Learning with Iterative Demonstration Selection","created":"2023-10-15","cited_by_count":74,"area":null},{"id":"2401.11624","title":"In-context Learning with Retrieved Demonstrations for Language Models: A Survey","created":"2024-01-21","cited_by_count":70,"area":null},{"id":"2409.14924","title":"Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely","created":"2024-09-23","cited_by_count":66,"area":"rag"},{"id":"2307.07164","title":"Learning to Retrieve In-Context Examples for Large Language Models","created":"2023-07-14","cited_by_count":60,"area":null},{"id":"2406.08747","title":"StreamBench: Towards Benchmarking Continuous Improvement of Language Agents","created":"2024-06-13","cited_by_count":47,"area":"agents"},{"id":"2310.14151","title":"PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain","created":"2023-10-22","cited_by_count":40,"area":null},{"id":"2412.12472","title":"Knowledge Boundary of Large Language Models: A Survey","created":"2024-12-17","cited_by_count":40,"area":null},{"id":"2501.02497","title":"A Survey of Test-Time Compute: From Intuitive Inference to Deliberate Reasoning","created":"2025-01-05","cited_by_count":40,"area":"lr"},{"id":"2305.05181","title":"MoT: Memory-of-Thought Enables ChatGPT to Self-Improve","created":"2023-05-09","cited_by_count":38,"area":"lr"},{"id":"2402.09723","title":"Efficient Prompt Optimization Through the Lens of Best Arm Identification","created":"2024-02-15","cited_by_count":37,"area":null},{"id":"2405.16122","title":"Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars","created":"2024-05-25","cited_by_count":37,"area":null},{"id":"2503.05788","title":"Emergent Abilities in Large Language Models: A Survey","created":"2025-02-28","cited_by_count":37,"area":null},{"id":"2403.16187","title":"ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models","created":"2024-03-24","cited_by_count":36,"area":null},{"id":"2312.02614","title":"Prompt Optimization via Adversarial In-Context Learning","created":"2023-12-05","cited_by_count":33,"area":null},{"id":"2408.02882","title":"Compromising Embodied Agents with Contextual Backdoor Attacks","created":"2024-08-06","cited_by_count":31,"area":"agents"},{"id":"2412.12932","title":"CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models","created":"2024-12-17","cited_by_count":30,"area":"lr"},{"id":"2405.02501","title":"PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning","created":"2024-05-03","cited_by_count":29,"area":null},{"id":"2410.07074","title":"Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning","created":"2024-10-09","cited_by_count":21,"area":null},{"id":"2410.18035","title":"MiLoRA: Efficient Mixture of Low-Rank Adaptation for Large Language Models Fine-tuning","created":"2024-10-23","cited_by_count":19,"area":"moe"},{"id":"2505.17097","title":"Make LVLMs Focus: Context-Aware Attention Modulation for Better Multimodal In-Context Learning","created":"2025-05-21","cited_by_count":19,"area":"mllm"},{"id":"2402.12908","title":"RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models","created":"2024-02-20","cited_by_count":18,"area":"diffusion"},{"id":"2406.16332","title":"DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task","created":"2024-06-24","cited_by_count":17,"area":null},{"id":"2503.12600","title":"GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation","created":"2025-03-16","cited_by_count":17,"area":null},{"id":"2404.12872","title":"LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency","created":"2024-04-19","cited_by_count":16,"area":null},{"id":"2405.17264","title":"On the Noise Robustness of In-Context Learning for Text Generation","created":"2024-05-27","cited_by_count":16,"area":null},{"id":"2406.11460","title":"TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation","created":"2024-06-17","cited_by_count":16,"area":"lr"},{"id":"2406.17534","title":"Retrieval-style In-Context Learning for Few-shot Hierarchical Text Classification","created":"2024-06-25","cited_by_count":16,"area":null},{"id":"2312.03987","title":"Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration","created":"2023-12-07","cited_by_count":15,"area":null},{"id":"2510.01617","title":"AMAS: Adaptively Determining Communication Topology for LLM-based Multi-Agent System","created":"2025-10-02","cited_by_count":15,"area":"agents"},{"id":"2312.17522","title":"Overview of the PromptCBLUE Shared Task in CHIP2023","created":"2023-12-29","cited_by_count":14,"area":null},{"id":"2401.06301","title":"Misconfidence-based Demonstration Selection for LLM In-Context Learning","created":"2024-01-12","cited_by_count":14,"area":null},{"id":"2311.09782","title":"More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering","created":"2023-11-16","cited_by_count":13,"area":null},{"id":"2402.12976","title":"The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis","created":"2024-02-20","cited_by_count":13,"area":null},{"id":"2407.10233","title":"Visual Prompt Selection for In-Context Learning Segmentation","created":"2024-07-14","cited_by_count":13,"area":null},{"id":"2401.14624","title":"Unearthing Large Scale Domain-Specific Knowledge from Public Corpora","created":"2024-01-26","cited_by_count":12,"area":null},{"id":"2504.08851","title":"Mimic In-Context Learning for Multimodal Tasks","created":"2025-04-11","cited_by_count":12,"area":"mllm"},{"id":"2309.07900","title":"Ambiguity-Aware In-Context Learning with Large Language Models","created":"2023-09-14","cited_by_count":11,"area":null},{"id":"2402.11750","title":"In-Context Learning Demonstration Selection via Influence Analysis","created":"2024-02-19","cited_by_count":11,"area":null},{"id":"2406.07424","title":"MINERS: Multilingual Language Models as Semantic Retrievers","created":"2024-06-11","cited_by_count":11,"area":null},{"id":"2412.03573","title":"Improving Tool Retrieval by Leveraging Large Language Models for Query Generation","created":"2024-11-17","cited_by_count":11,"area":null},{"id":"2311.09519","title":"Leveraging Code to Improve In-context Learning for Semantic Parsing","created":"2023-11-16","cited_by_count":10,"area":null},{"id":"2402.06733","title":"NICE: To Optimize In-Context Examples or Not?","created":"2024-02-09","cited_by_count":9,"area":null},{"id":"2406.11890","title":"Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning","created":"2024-06-14","cited_by_count":9,"area":null},{"id":"2412.12621","title":"Jailbreaking? One Step Is Enough!","created":"2024-12-17","cited_by_count":9,"area":"safety"},{"id":"2502.01033","title":"PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment","created":"2025-02-03","cited_by_count":9,"area":null},{"id":"2601.20730","title":"AgentLongBench: A Controllable Long Benchmark For Long-Contexts Agents via Environment Rollouts","created":"2026-01-28","cited_by_count":9,"area":"agents"},{"id":"2401.16184","title":"Vocabulary-Defined Semantics: Latent Space Clustering for Improving In-Context Learning","created":"2024-01-29","cited_by_count":8,"area":null},{"id":"2402.13874","title":"$Se^2$: Sequential Example Selection for In-Context Learning","created":"2024-02-21","cited_by_count":8,"area":null},{"id":"2409.17834","title":"PEDRO: Parameter-Efficient Fine-tuning with Prompt DEpenDent Representation MOdification","created":"2024-09-26","cited_by_count":8,"area":null},{"id":"2505.18513","title":"Enhancing Training Data Attribution with Representational Optimization","created":"2025-05-24","cited_by_count":8,"area":null},{"id":"2312.10104","title":"Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models","created":"2023-12-15","cited_by_count":7,"area":"mllm"},{"id":"2410.09343","title":"ELICIT: LLM Augmentation via External In-Context Capability","created":"2024-10-12","cited_by_count":7,"area":null},{"id":"2504.14200","title":"Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization","created":"2025-04-19","cited_by_count":7,"area":"mllm"},{"id":"2506.09473","title":"Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning","created":"2025-06-11","cited_by_count":7,"area":null},{"id":"2510.04655","title":"FT-MDT: Extracting Decision Trees from Medical Texts via a Novel Low-rank Adaptation Method","created":"2025-10-06","cited_by_count":7,"area":null},{"id":"2310.00385","title":"Dynamic Demonstrations Controller for In-Context Learning","created":"2023-09-30","cited_by_count":6,"area":null},{"id":"2311.01949","title":"Hint-enhanced In-Context Learning wakes Large Language Models up for knowledge-intensive tasks","created":"2023-11-03","cited_by_count":6,"area":null},{"id":"2407.00100","title":"Enhancing In-Context Learning via Implicit Demonstration Augmentation","created":"2024-06-27","cited_by_count":6,"area":null},{"id":"2407.17011","title":"Unveiling In-Context Learning: A Coordinate System to Understand Its Working Mechanism","created":"2024-07-24","cited_by_count":6,"area":null},{"id":"2409.18475","title":"Data Analysis in the Era of Generative AI","created":"2024-09-27","cited_by_count":6,"area":null},{"id":"2502.06990","title":"Investigating the Zone of Proximal Development of Language Models for In-Context Learning","created":"2025-02-10","cited_by_count":6,"area":null},{"id":"2506.16502","title":"Relic: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples","created":"2025-06-19","cited_by_count":6,"area":"alignment"},{"id":"2402.03038","title":"Automatic Combination of Sample Selection Strategies for Few-Shot Learning","created":"2024-02-05","cited_by_count":5,"area":null},{"id":"2411.16773","title":"MICAS: Multi-grained In-Context Adaptive Sampling for 3D Point Cloud Processing","created":"2024-11-25","cited_by_count":5,"area":null},{"id":"2412.05710","title":"PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks","created":"2024-12-07","cited_by_count":5,"area":null},{"id":"2505.19966","title":"Learning to Select In-Context Demonstration Preferred by Large Language Model","created":"2025-05-26","cited_by_count":5,"area":null},{"id":"2506.15504","title":"Enhancing Hyperbole and Metaphor Detection with Their Bidirectional Dynamic Interaction and Emotion Knowledge","created":"2025-06-18","cited_by_count":5,"area":null},{"id":"2308.15851","title":"Prompting Vision Language Model with Knowledge from Large Language Model for Knowledge-Based VQA","created":"2023-08-30","cited_by_count":4,"area":"mllm"},{"id":"2403.10135","title":"The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation","created":"2024-03-15","cited_by_count":4,"area":null},{"id":"2405.15984","title":"Evaluating and Safeguarding the Adversarial Robustness of Retrieval-Based In-Context Learning","created":"2024-05-24","cited_by_count":4,"area":"rag"},{"id":"2405.17587","title":"RAGSys: Item-Cold-Start Recommender as RAG System","created":"2024-05-27","cited_by_count":4,"area":"rag"},{"id":"2406.02911","title":"Improving In-Context Learning with Prediction Feedback for Sentiment Analysis","created":"2024-06-05","cited_by_count":4,"area":null},{"id":"2505.19956","title":"DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph","created":"2025-05-26","cited_by_count":4,"area":null},{"id":"2601.16503","title":"MRAG: Benchmarking Retrieval-Augmented Generation for Bio-medicine","created":"2026-01-23","cited_by_count":4,"area":"rag"},{"id":"2405.10288","title":"Timeline-based Sentence Decomposition with In-Context Learning for Temporal Fact Extraction","created":"2024-05-16","cited_by_count":3,"area":null},{"id":"2409.11147","title":"Reasoning Graph Enhanced Exemplars Retrieval for In-Context Learning","created":"2024-09-17","cited_by_count":3,"area":"lr"},{"id":"2410.23099","title":"Comparative Analysis of Demonstration Selection Algorithms for LLM In-Context Learning","created":"2024-10-30","cited_by_count":3,"area":null},{"id":"2410.23605","title":"Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs","created":"2024-10-31","cited_by_count":3,"area":"rag"},{"id":"2503.22776","title":"Post-Incorporating Code Structural Knowledge into Pretrained Models via ICL for Code Translation","created":"2025-03-28","cited_by_count":3,"area":null},{"id":"2506.04579","title":"Selecting Demonstrations for Many-Shot In-Context Learning via Gradient Matching","created":"2025-06-05","cited_by_count":3,"area":null},{"id":"2510.21059","title":"Dynamic Retriever for In-Context Knowledge Editing via Policy Optimization","created":"2025-10-24","cited_by_count":3,"area":null},{"id":"2311.09619","title":"Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning","created":"2023-11-16","cited_by_count":2,"area":null},{"id":"2311.13538","title":"AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations","created":"2023-11-22","cited_by_count":2,"area":"lr"},{"id":"2403.09703","title":"Concept-aware Data Construction Improves In-context Learning of Language Models","created":"2024-03-08","cited_by_count":2,"area":null},{"id":"2405.18035","title":"Instruction Tuning with Retrieval-based Examples Ranking for Aspect-based Sentiment Analysis","created":"2024-05-28","cited_by_count":2,"area":null},{"id":"2408.08780","title":"Large Language Models Might Not Care What You Are Saying: Prompt Format Beats Descriptions","created":"2024-08-16","cited_by_count":2,"area":null},{"id":"2410.20088","title":"RARe: Retrieval Augmented Retrieval with In-Context Examples","created":"2024-10-26","cited_by_count":2,"area":"rag"},{"id":"2411.15396","title":"The Decoy Dilemma in Online Medical Information Evaluation: A Comparative Study of Credibility Assessments by LLM and Human Judges","created":"2024-11-23","cited_by_count":2,"area":null},{"id":"2501.15708","title":"StaICC: Standardized Evaluation for Classification Task in In-context Learning","created":"2025-01-27","cited_by_count":2,"area":null},{"id":"2505.01110","title":"MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning","created":"2025-05-02","cited_by_count":2,"area":null},{"id":"2506.00418","title":"Dual Debiasing for Noisy In-Context Learning for Text Generation","created":"2025-05-31","cited_by_count":2,"area":null},{"id":"2509.12263","title":"InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning","created":"2025-09-12","cited_by_count":2,"area":"mllm"},{"id":"2511.05302","title":"When More Retrieval Hurts: Retrieval-Augmented Code Review Generation","created":"2025-11-07","cited_by_count":2,"area":"rag"},{"id":"2512.11013","title":"PIAST: Rapid Prompting with In-context Augmentation for Scarce Training data","created":"2025-12-11","cited_by_count":2,"area":null},{"id":"2601.19535","title":"LURE-RAG: Lightweight Utility-driven Reranking for Efficient RAG","created":"2026-01-27","cited_by_count":2,"area":"rag"},{"id":"2402.09954","title":"Crafting a Good Prompt or Providing Exemplary Dialogues? A Study of In-Context Learning for Persona-based Dialogue Generation","created":"2024-02-15","cited_by_count":1,"area":null}],"next_cursor":"100"}