TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Shandilya, Shivam, Xia, Menglin, Ghosh, Supriyo, Jiang, Huiqiang, Zhang, Jue, Wu, Qianhui, Rühle, Victor |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
by: Pan, Zhuoshi, et al.
Published: (2024)
by: Pan, Zhuoshi, et al.
Published: (2024)
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
by: Jiang, Huiqiang, et al.
Published: (2023)
by: Jiang, Huiqiang, et al.
Published: (2023)
CARMO: Dynamic Criteria Generation for Context-Aware Reward Modelling
by: Gupta, Taneesh, et al.
Published: (2024)
by: Gupta, Taneesh, et al.
Published: (2024)
RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization
by: Dong, Yihong, et al.
Published: (2025)
by: Dong, Yihong, et al.
Published: (2025)
PromptWizard: Task-Aware Prompt Optimization Framework
by: Agarwal, Eshaan, et al.
Published: (2024)
by: Agarwal, Eshaan, et al.
Published: (2024)
REA-RL: Reflection-Aware Online Reinforcement Learning for Efficient Reasoning
by: Deng, Hexuan, et al.
Published: (2025)
by: Deng, Hexuan, et al.
Published: (2025)
OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents
by: Yang, Rui, et al.
Published: (2026)
by: Yang, Rui, et al.
Published: (2026)
Streetwise Agents: Empowering Offline RL Policies to Outsmart Exogenous Stochastic Disturbances in RTC
by: Soni, Aditya, et al.
Published: (2024)
by: Soni, Aditya, et al.
Published: (2024)
Mitigate Position Bias in Large Language Models via Scaling a Single Dimension
by: Yu, Yijiong, et al.
Published: (2024)
by: Yu, Yijiong, et al.
Published: (2024)
UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection
by: Zhao, Yang, et al.
Published: (2025)
by: Zhao, Yang, et al.
Published: (2025)
SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression
by: Li, Yucheng, et al.
Published: (2025)
by: Li, Yucheng, et al.
Published: (2025)
Learning to Compress Prompt in Natural Language Formats
by: Chuang, Yu-Neng, et al.
Published: (2024)
by: Chuang, Yu-Neng, et al.
Published: (2024)
Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction
by: Xia, Menglin, et al.
Published: (2023)
by: Xia, Menglin, et al.
Published: (2023)
APRIL: API Synthesis with Automatic Prompt Optimization and Reinforcement Learning
by: Zhong, Hua, et al.
Published: (2025)
by: Zhong, Hua, et al.
Published: (2025)
BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
by: Ding, Dujian, et al.
Published: (2025)
by: Ding, Dujian, et al.
Published: (2025)
DISA: Offline Importance Sampling for Distribution-Matching LLM-RL
by: Wang, Shaobo, et al.
Published: (2026)
by: Wang, Shaobo, et al.
Published: (2026)
SCBench: A KV Cache-Centric Analysis of Long-Context Methods
by: Li, Yucheng, et al.
Published: (2024)
by: Li, Yucheng, et al.
Published: (2024)
TemplateRL: Structured Template-Guided Reinforcement Learning for LLM Reasoning
by: Wu, Jinyang, et al.
Published: (2025)
by: Wu, Jinyang, et al.
Published: (2025)
Prompt-SAW: Leveraging Relation-Aware Graphs for Textual Prompt Compression
by: Ali, Muhammad Asif, et al.
Published: (2024)
by: Ali, Muhammad Asif, et al.
Published: (2024)
Endless Terminals: Scaling RL Environments for Terminal Agents
by: Gandhi, Kanishk, et al.
Published: (2026)
by: Gandhi, Kanishk, et al.
Published: (2026)
BroRL: Scaling Reinforcement Learning via Broadened Exploration
by: Hu, Jian, et al.
Published: (2025)
by: Hu, Jian, et al.
Published: (2025)
Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL
by: Sun, Hao, et al.
Published: (2023)
by: Sun, Hao, et al.
Published: (2023)
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL
by: Choi, Yunseon, et al.
Published: (2024)
by: Choi, Yunseon, et al.
Published: (2024)
Task Facet Learning: A Structured Approach to Prompt Optimization
by: Juneja, Gurusha, et al.
Published: (2024)
by: Juneja, Gurusha, et al.
Published: (2024)
Better Prompt Compression Without Multi-Layer Perceptrons
by: Honig, Edouardo, et al.
Published: (2025)
by: Honig, Edouardo, et al.
Published: (2025)
Cost-Aware Retrieval-Augmentation Reasoning Models with Adaptive Retrieval Depth
by: Hashemi, Helia, et al.
Published: (2025)
by: Hashemi, Helia, et al.
Published: (2025)
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
by: Jiang, Huiqiang, et al.
Published: (2024)
by: Jiang, Huiqiang, et al.
Published: (2024)
Stabilizing Reinforcement Learning with LLMs: Formulation and Practices
by: Zheng, Chujie, et al.
Published: (2025)
by: Zheng, Chujie, et al.
Published: (2025)
Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference
by: Liskavets, Barys, et al.
Published: (2024)
by: Liskavets, Barys, et al.
Published: (2024)
ExpThink: Experience-Guided Reinforcement Learning for Adaptive Chain-of-Thought Compression
by: Bian, Tingcheng, et al.
Published: (2026)
by: Bian, Tingcheng, et al.
Published: (2026)
TreeRL: LLM Reinforcement Learning with On-Policy Tree Search
by: Hou, Zhenyu, et al.
Published: (2025)
by: Hou, Zhenyu, et al.
Published: (2025)
Balancing the Reasoning Load: Difficulty-Differentiated Policy Optimization with Length Redistribution for Efficient and Robust Reinforcement Learning
by: Xia, Yinan, et al.
Published: (2026)
by: Xia, Yinan, et al.
Published: (2026)
Chart-RL: Generalized Chart Comprehension via Reinforcement Learning with Verifiable Rewards
by: Zhang, Xin, et al.
Published: (2026)
by: Zhang, Xin, et al.
Published: (2026)
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
by: Ding, Dujian, et al.
Published: (2024)
by: Ding, Dujian, et al.
Published: (2024)
PRewrite: Prompt Rewriting with Reinforcement Learning
by: Kong, Weize, et al.
Published: (2024)
by: Kong, Weize, et al.
Published: (2024)
LLM Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization
by: Wu, Yuanchen, et al.
Published: (2025)
by: Wu, Yuanchen, et al.
Published: (2025)
Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability
by: Chung, Tsz Ting, et al.
Published: (2024)
by: Chung, Tsz Ting, et al.
Published: (2024)
PromptAL: Sample-Aware Dynamic Soft Prompts for Few-Shot Active Learning
by: Xiang, Hui, et al.
Published: (2025)
by: Xiang, Hui, et al.
Published: (2025)
FP8-RL: A Practical and Stable Low-Precision Stack for LLM Reinforcement Learning
by: Qiu, Zhaopeng, et al.
Published: (2026)
by: Qiu, Zhaopeng, et al.
Published: (2026)
SPEC-RL: Accelerating On-Policy Reinforcement Learning with Speculative Rollouts
by: Liu, Bingshuai, et al.
Published: (2025)
by: Liu, Bingshuai, et al.
Published: (2025)
Similar Items
-
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
by: Pan, Zhuoshi, et al.
Published: (2024) -
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
by: Jiang, Huiqiang, et al.
Published: (2023) -
CARMO: Dynamic Criteria Generation for Context-Aware Reward Modelling
by: Gupta, Taneesh, et al.
Published: (2024) -
RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization
by: Dong, Yihong, et al.
Published: (2025) -
PromptWizard: Task-Aware Prompt Optimization Framework
by: Agarwal, Eshaan, et al.
Published: (2024)