{"total":25,"rows":[{"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":"2402.01788","title":"LitLLM: A Toolkit for Scientific Literature Review","created":"2024-02-02","cited_by_count":63,"area":null},{"id":"2406.03085","title":"Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation","created":"2024-06-05","cited_by_count":19,"area":null},{"id":"2311.09263","title":"Auto-ICL: In-Context Learning without Human Supervision","created":"2023-11-15","cited_by_count":18,"area":null},{"id":"2506.06950","title":"What Makes a Good Natural Language Prompt?","created":"2025-06-07","cited_by_count":7,"area":null},{"id":"2405.13022","title":"LLMs can learn self-restraint through iterative self-reflection","created":"2024-05-15","cited_by_count":6,"area":null},{"id":"2409.06821","title":"Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts","created":"2024-09-10","cited_by_count":6,"area":null},{"id":"2410.12843","title":"Exploring Prompt Engineering: A Systematic Review with SWOT Analysis","created":"2024-10-09","cited_by_count":5,"area":null},{"id":"2506.20274","title":"Enterprise Large Language Model Evaluation Benchmark","created":"2025-06-25","cited_by_count":5,"area":null},{"id":"2510.10138","title":"Hybrid OCR-LLM Framework for Enterprise-Scale Document Information Extraction Under Copy-heavy Task","created":"2025-10-11","cited_by_count":5,"area":null},{"id":"2403.17582","title":"Towards a Zero-Data, Controllable, Adaptive Dialog System","created":"2024-03-26","cited_by_count":4,"area":null},{"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":"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":"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":"2502.20866","title":"Better Benchmarking LLMs for Zero-Shot Dependency Parsing","created":"2025-02-28","cited_by_count":2,"area":null},{"id":"2505.19660","title":"Prompting is not Enough: Exploring Knowledge Integration and Controllable Generation","created":"2025-05-26","cited_by_count":2,"area":null},{"id":"2506.00871","title":"Towards Predicting Any Human Trajectory In Context","created":"2025-06-01","cited_by_count":2,"area":null},{"id":"2503.01606","title":"Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering","created":"2025-03-03","cited_by_count":1,"area":null},{"id":"2506.23146","title":"Learning-to-Context Slope: Evaluating In-Context Learning Effectiveness Beyond Performance Illusions","created":"2025-06-29","cited_by_count":1,"area":null},{"id":"2512.11661","title":"From Verification Burden to Trusted Collaboration: Design Goals for LLM-Assisted Literature Reviews","created":"2025-12-12","cited_by_count":1,"area":null},{"id":"2604.17803","title":"Adversarial Arena: Crowdsourcing Data Generation through Interactive Competition","created":"2026-04-20","cited_by_count":1,"area":null},{"id":"2410.11693","title":"BridG MT: Enhancing LLMs' Machine Translation Capabilities with Sentence Bridging and Gradual MT","created":"2024-10-15","cited_by_count":0,"area":null},{"id":"2601.05529","title":"Before We Trust Them: Decision-Making Failures in Navigation of Foundation Models","created":"2026-01-09","cited_by_count":0,"area":null},{"id":"2605.20193","title":"Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification","created":"2026-04-04","cited_by_count":0,"area":null},{"id":"2607.21279","title":"A Unified Moral-Value Dataset for Instruction Tuning","created":"2026-07-23","cited_by_count":0,"area":null}],"next_cursor":null}