{"total":161,"rows":[{"id":"2303.18223","title":"A Survey of Large Language Models","created":"2023-03-31","cited_by_count":2576,"area":null},{"id":"2301.00234","title":"A Survey on In-context Learning","created":"2022-12-31","cited_by_count":721,"area":null},{"id":"2310.06839","title":"LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression","created":"2023-10-10","cited_by_count":453,"area":"inference"},{"id":"2404.02060","title":"Long-context LLMs Struggle with Long In-context Learning","created":"2024-04-02","cited_by_count":286,"area":null},{"id":"2410.17891","title":"Scaling Diffusion Language Models via Adaptation from Autoregressive Models","created":"2024-10-23","cited_by_count":274,"area":"diffusion"},{"id":"2312.03863","title":"Efficient Large Language Models: A Survey","created":"2023-12-06","cited_by_count":186,"area":null},{"id":"2401.06805","title":"Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning","created":"2024-01-10","cited_by_count":136,"area":"lr"},{"id":"2410.14157","title":"Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning","created":"2024-10-18","cited_by_count":135,"area":"lr"},{"id":"2405.07467","title":"MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation","created":"2024-05-13","cited_by_count":105,"area":null},{"id":"2401.06766","title":"Mind Your Format: Towards Consistent Evaluation of In-Context Learning Improvements","created":"2024-01-12","cited_by_count":83,"area":null},{"id":"2306.06427","title":"Boosting Language Models Reasoning with Chain-of-Knowledge Prompting","created":"2023-06-10","cited_by_count":77,"area":"lr"},{"id":"2410.04343","title":"Inference Scaling for Long-Context Retrieval Augmented Generation","created":"2024-10-06","cited_by_count":65,"area":"rag"},{"id":"2306.04757","title":"INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models","created":"2023-06-07","cited_by_count":62,"area":null},{"id":"2409.09030","title":"Agents in Software Engineering: Survey, Landscape, and Vision","created":"2024-09-13","cited_by_count":60,"area":"agents"},{"id":"2305.14907","title":"Coverage-based Example Selection for In-Context Learning","created":"2023-05-24","cited_by_count":59,"area":null},{"id":"2401.12087","title":"Revisiting Demonstration Selection Strategies in In-Context Learning","created":"2024-01-22","cited_by_count":58,"area":null},{"id":"2402.10738","title":"Let's Learn Step by Step: Enhancing In-Context Learning Ability with Curriculum Learning","created":"2024-02-16","cited_by_count":47,"area":null},{"id":"2305.14210","title":"Skill-Based Few-Shot Selection for In-Context Learning","created":"2023-05-23","cited_by_count":46,"area":null},{"id":"2504.21277","title":"Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models","created":"2025-04-30","cited_by_count":44,"area":"lr"},{"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":"2302.04931","title":"In-Context Learning with Many Demonstration Examples","created":"2023-02-09","cited_by_count":39,"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":"2402.15607","title":"How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?","created":"2024-02-23","cited_by_count":35,"area":null},{"id":"2401.07872","title":"The What, Why, and How of Context Length Extension Techniques in Large Language Models -- A Detailed Survey","created":"2024-01-15","cited_by_count":33,"area":null},{"id":"2303.10475","title":"Large Language Model Instruction Following: A Survey of Progresses and Challenges","created":"2023-03-18","cited_by_count":31,"area":null},{"id":"2410.20482","title":"What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration","created":"2024-10-27","cited_by_count":31,"area":"lr"},{"id":"2412.04692","title":"Smoothie: Label Free Language Model Routing","created":"2024-12-06","cited_by_count":31,"area":null},{"id":"2311.03648","title":"Instruct Me More! Random Prompting for Visual In-Context Learning","created":"2023-11-07","cited_by_count":30,"area":null},{"id":"2505.17098","title":"TACO: Enhancing Multimodal In-context Learning via Task Mapping-Guided Sequence Configuration","created":"2025-05-21","cited_by_count":23,"area":"mllm"},{"id":"2506.07972","title":"HeuriGym: An Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization","created":"2025-06-09","cited_by_count":21,"area":"agents"},{"id":"2312.15918","title":"Supervised Knowledge Makes Large Language Models Better In-context Learners","created":"2023-12-26","cited_by_count":20,"area":null},{"id":"2410.16983","title":"Order Matters: Exploring Order Sensitivity in Multimodal Large Language Models","created":"2024-10-22","cited_by_count":20,"area":"mllm"},{"id":"2503.00353","title":"U-NIAH: Unified RAG and LLM Evaluation for Long Context Needle-In-A-Haystack","created":"2025-03-01","cited_by_count":20,"area":"rag"},{"id":"2311.05922","title":"Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction","created":"2023-11-10","cited_by_count":19,"area":"lr"},{"id":"2406.10504","title":"Task Facet Learning: A Structured Approach to Prompt Optimization","created":"2024-06-15","cited_by_count":19,"area":null},{"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":"2309.06085","title":"BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models","created":"2023-09-12","cited_by_count":18,"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":"2305.13016","title":"Iterative Forward Tuning Boosts In-Context Learning in Language Models","created":"2023-05-22","cited_by_count":15,"area":null},{"id":"2312.01082","title":"A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness","created":"2023-12-02","cited_by_count":14,"area":null},{"id":"2406.16605","title":"CLEAR: Can Language Models Really Understand Causal Graphs?","created":"2024-06-24","cited_by_count":14,"area":"lr"},{"id":"2305.14877","title":"Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis","created":"2023-05-24","cited_by_count":13,"area":null},{"id":"2404.12866","title":"How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning?","created":"2024-04-19","cited_by_count":13,"area":"mllm"},{"id":"2502.15954","title":"MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning","created":"2025-02-21","cited_by_count":13,"area":"rag"},{"id":"2305.13917","title":"Generating Data for Symbolic Language with Large Language Models","created":"2023-05-23","cited_by_count":12,"area":null},{"id":"2402.11447","title":"In-Context Example Ordering Guided by Label Distributions","created":"2024-02-18","cited_by_count":12,"area":null},{"id":"2402.15637","title":"Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models","created":"2024-02-23","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":"2506.03483","title":"APT: Improving Specialist LLM Performance with Weakness Case Acquisition and Iterative Preference Training","created":"2025-06-04","cited_by_count":12,"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":"2405.14660","title":"Implicit In-context Learning","created":"2024-05-23","cited_by_count":11,"area":null},{"id":"2406.01224","title":"Demonstration Augmentation for Zero-shot In-context Learning","created":"2024-06-03","cited_by_count":11,"area":null},{"id":"2407.00902","title":"From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning","created":"2024-07-01","cited_by_count":11,"area":"mllm"},{"id":"2409.12656","title":"Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards","created":"2024-09-19","cited_by_count":10,"area":null},{"id":"2310.08923","title":"Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning","created":"2023-10-13","cited_by_count":9,"area":null},{"id":"2507.01321","title":"ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks","created":"2025-07-02","cited_by_count":9,"area":"safety"},{"id":"2402.13874","title":"$Se^2$: Sequential Example Selection for In-Context Learning","created":"2024-02-21","cited_by_count":8,"area":null},{"id":"2402.16058","title":"Say More with Less: Understanding Prompt Learning Behaviors through Gist Compression","created":"2024-02-25","cited_by_count":8,"area":null},{"id":"2504.13938","title":"Never Start from Scratch: Expediting On-Device LLM Personalization via Explainable Model Selection","created":"2025-04-15","cited_by_count":8,"area":null},{"id":"2505.04994","title":"Rethinking Invariance in In-context Learning","created":"2025-05-08","cited_by_count":8,"area":"lr"},{"id":"2505.20630","title":"SV-TrustEval-C: Evaluating Structure and Semantic Reasoning in Large Language Models for Source Code Vulnerability Analysis","created":"2025-05-27","cited_by_count":8,"area":"lr"},{"id":"2506.07440","title":"Federated In-Context Learning: Iterative Refinement for Improved Answer Quality","created":"2025-06-09","cited_by_count":8,"area":null},{"id":"2506.07936","title":"Mimicking or Reasoning: Rethinking Multi-Modal In-Context Learning in Vision-Language Models","created":"2025-06-09","cited_by_count":8,"area":"lr"},{"id":"2509.22854","title":"Train Once, Reuse Everywhere: Generalizable Implicit In-Context Learning by Routing Attention","created":"2025-09-26","cited_by_count":8,"area":null},{"id":"2308.06942","title":"Approximating Human-Like Few-shot Learning with GPT-based Compression","created":"2023-08-14","cited_by_count":7,"area":null},{"id":"2310.04691","title":"EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling","created":"2023-10-07","cited_by_count":7,"area":null},{"id":"2503.04839","title":"Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware Demonstrations","created":"2025-03-05","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":"2512.11668","title":"Bridging Streaming Continual Learning via In-Context Large Tabular Models","created":"2025-12-12","cited_by_count":7,"area":null},{"id":"2311.09606","title":"GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks","created":"2023-11-16","cited_by_count":6,"area":null},{"id":"2406.11474","title":"How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment","created":"2024-06-17","cited_by_count":6,"area":"alignment"},{"id":"2407.00100","title":"Enhancing In-Context Learning via Implicit Demonstration Augmentation","created":"2024-06-27","cited_by_count":6,"area":null},{"id":"2501.15030","title":"OptiSeq: Ordering Examples On-The-Fly for In-Context Learning","created":"2025-01-25","cited_by_count":6,"area":"agents"},{"id":"2505.02027","title":"GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning","created":"2025-05-04","cited_by_count":6,"area":null},{"id":"2505.19426","title":"The Role of Diversity in In-Context Learning for Large Language Models","created":"2025-05-26","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":"2406.13185","title":"LIVE: Learnable In-Context Vector for Visual Question Answering","created":"2024-06-19","cited_by_count":5,"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":"2411.18126","title":"Curriculum Demonstration Selection for In-Context Learning","created":"2024-11-27","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":"2503.21127","title":"Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection","created":"2025-03-27","cited_by_count":5,"area":null},{"id":"2507.23554","title":"DICE: Dynamic In-Context Example Selection in LLM Agents via Efficient Knowledge Transfer","created":"2025-07-31","cited_by_count":5,"area":"agents"},{"id":"2310.14435","title":"Retrieval-Augmented Chain-of-Thought in Semi-structured Domains","created":"2023-10-22","cited_by_count":4,"area":"lr"},{"id":"2401.03385","title":"Grimoire is All You Need for Enhancing Large Language Models","created":"2024-01-07","cited_by_count":4,"area":null},{"id":"2403.06126","title":"In-context Prompt Learning for Test-time Vision Recognition with Frozen Vision-language Model","created":"2024-03-10","cited_by_count":4,"area":"mllm"},{"id":"2407.05693","title":"Sub-SA: Strengthen In-context Learning via Submodular Selective Annotation","created":"2024-07-08","cited_by_count":4,"area":null},{"id":"2409.09704","title":"AlpaPICO: Extraction of PICO Frames from Clinical Trial Documents Using LLMs","created":"2024-09-15","cited_by_count":4,"area":null},{"id":"2410.21728","title":"Let's Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models","created":"2024-10-29","cited_by_count":4,"area":"lr"},{"id":"2411.07848","title":"Zero-shot Object-Centric Instruction Following: Integrating Foundation Models with Traditional Navigation","created":"2024-11-12","cited_by_count":4,"area":null},{"id":"2505.16193","title":"An Empirical Study on Configuring In-Context Learning Demonstrations for Unleashing MLLMs' Sentimental Perception Capability","created":"2025-05-22","cited_by_count":4,"area":"mllm"},{"id":"2506.17251","title":"Training-free LLM Verification via Recycling Few-shot Examples","created":"2025-06-08","cited_by_count":4,"area":"lr"},{"id":"2507.20443","title":"Provable In-Context Learning of Nonlinear Regression with Transformers","created":"2025-07-28","cited_by_count":4,"area":null},{"id":"2306.17519","title":"GPT-FinRE: In-context Learning for Financial Relation Extraction using Large Language Models","created":"2023-06-30","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":"2409.16383","title":"RISCORE: Enhancing In-Context Riddle Solving in Language Models through Context-Reconstructed Example Augmentation","created":"2024-09-24","cited_by_count":3,"area":"lr"},{"id":"2410.01724","title":"Auto-Demo Prompting: Leveraging Generated Outputs as Demonstrations for Enhanced Batch Prompting","created":"2024-10-02","cited_by_count":3,"area":null},{"id":"2412.15274","title":"Memory-Augmented Agent Training for Business Document Understanding","created":"2024-12-17","cited_by_count":3,"area":"agents"},{"id":"2501.01473","title":"Unraveling Indirect In-Context Learning Using Influence Functions","created":"2025-01-01","cited_by_count":3,"area":null},{"id":"2501.07892","title":"Leveraging Metamemory Agent for Enhanced Data-Free Code Generation in Large Language Models","created":"2025-01-14","cited_by_count":3,"area":"agents"}],"next_cursor":"100"}