
Title |
|---|
![]() What Makes a Good Natural Language Prompt?Annual Meeting of the Association for Computational Linguistics (ACL), 2025 |
![]() InfiniteICL: Breaking the Limit of Context Window Size via Long Short-term Memory TransformationAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 |
![]() From Reading to Compressing: Exploring the Multi-document Reader for Prompt CompressionConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 |
![]() Style-Compress: An LLM-Based Prompt Compression Framework Considering
Task-Specific StylesConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 |
![]() Prompt Compression for Large Language Models: A SurveyNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024 |
![]() Parse Trees Guided LLM Prompt CompressionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 |
![]() TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement
LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 |
![]() Semformer: Transformer Language Models with Semantic PlanningConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 |
![]() Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient
Compile-Time Prompt OptimizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 |