Latent Action Reparameterization for Efficient Agent Inference
cs.AI
Submitted: 2026-05-18
Updated: 2026-09-27
Code: https://github.com/EZ-hwh/LAR
Terminology
Sources
- Program Synthesis with Large Language Models
- FastMTP: Accelerating LLM Inference with Enhanced Multi-Token Prediction
- Efficient Sequential Decision Making with Large Language Models
- Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference
- Evaluating Large Language Models Trained on Code
- Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models
- AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents
- Robotouille: An Asynchronous Planning Benchmark for LLM Agents
- Mastering Diverse Domains through World Models
- TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
- ACON: Optimizing Context Compression for Long-horizon LLM Agents
- ReflAct: World-Grounded Decision Making in LLM Agents via Goal-State Reflection
- CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use Agents
- AgentBench: Evaluating LLMs as Agents
- HybridFlow: A Flexible and Efficient RLHF Framework
- ConciseHint: Boosting Efficient Reasoning via Continuous Concise Hints during Generation
- Efficient Large Language Models: A Survey
- Self-Consistency Improves Chain of Thought Reasoning in Language Models
- TokenSkip: Controllable Chain-of-Thought Compression in LLMs
- KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding
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