Copertina

Test-Time Adaptation for LLM Agents via Environment Interaction

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Arthur, Liu, Zuxin, Zhang, Jianguo, Prabhakar, Akshara, Liu, Zhiwei, Heinecke, Shelby, Savarese, Silvio, Zhong, Victor, Xiong, Caiming
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

UserBench: An Interactive Gym Environment for User-Centric Agents
di: Qian, Cheng, et al.
Pubblicazione: (2025)

UserRL: Training Interactive User-Centric Agent via Reinforcement Learning
di: Qian, Cheng, et al.
Pubblicazione: (2025)

Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding
di: Chen, Haolin, et al.
Pubblicazione: (2024)

APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay
di: Prabhakar, Akshara, et al.
Pubblicazione: (2025)

xRouter: Training Cost-Aware LLMs Orchestration System via Reinforcement Learning
di: Qian, Cheng, et al.
Pubblicazione: (2025)

ToolLibGen: Scalable Automatic Tool Creation and Aggregation for LLM Reasoning
di: Yue, Murong, et al.
Pubblicazione: (2025)

CoDA: Coding LM via Diffusion Adaptation
di: Chen, Haolin, et al.
Pubblicazione: (2025)

LoCoBench-Agent: An Interactive Benchmark for LLM Agents in Long-Context Software Engineering
di: Qiu, Jielin, et al.
Pubblicazione: (2025)

AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System
di: Liu, Zhiwei, et al.
Pubblicazione: (2024)

MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models
di: Liu, Zhiwei, et al.
Pubblicazione: (2025)

xLAM: A Family of Large Action Models to Empower AI Agent Systems
di: Zhang, Jianguo, et al.
Pubblicazione: (2024)

VoiceAgentRAG: Solving the RAG Latency Bottleneck in Real-Time Voice Agents Using Dual-Agent Architectures
di: Qiu, Jielin, et al.
Pubblicazione: (2026)

Causal Layering via Conditional Entropy
di: Feigenbaum, Itai, et al.
Pubblicazione: (2024)

ActionStudio: A Lightweight Framework for Data and Training of Large Action Models
di: Zhang, Jianguo, et al.
Pubblicazione: (2025)

AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning
di: Zhang, Jianguo, et al.
Pubblicazione: (2024)

Whisper-AuT: Domain-Adapted Audio Encoder for Efficient Audio-LLM Training
di: Qiu, Jielin, et al.
Pubblicazione: (2026)

Building Enterprise Realtime Voice Agents from Scratch: A Technical Tutorial
di: Qiu, Jielin, et al.
Pubblicazione: (2026)

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents
di: Zhang, Kexun, et al.
Pubblicazione: (2024)

PRACT: Optimizing Principled Reasoning and Acting of LLM Agent
di: Liu, Zhiwei, et al.
Pubblicazione: (2024)

CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments
di: Huang, Kung-Hsiang, et al.
Pubblicazione: (2024)

Enterprise Sales Copilot: Enabling Real-Time AI Support with Automatic Information Retrieval in Live Sales Calls
di: Qiu, Jielin, et al.
Pubblicazione: (2026)

DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI
di: Zhang, Jianguo, et al.
Pubblicazione: (2023)

Editing Arbitrary Propositions in LLMs without Subject Labels
di: Feigenbaum, Itai, et al.
Pubblicazione: (2024)

CRMArena-Pro: Holistic Assessment of LLM Agents Across Diverse Business Scenarios and Interactions
di: Huang, Kung-Hsiang, et al.
Pubblicazione: (2025)

LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback
di: Hoang, Thai, et al.
Pubblicazione: (2025)

Enterprise Deep Research: Steerable Multi-Agent Deep Research for Enterprise Analytics
di: Prabhakar, Akshara, et al.
Pubblicazione: (2025)

APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets
di: Liu, Zuxin, et al.
Pubblicazione: (2024)

REX: Rapid Exploration and eXploitation for AI Agents
di: Murthy, Rithesh, et al.
Pubblicazione: (2023)

MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases
di: Murthy, Rithesh, et al.
Pubblicazione: (2024)

Unified Training of Universal Time Series Forecasting Transformers
di: Woo, Gerald, et al.
Pubblicazione: (2024)

Enabling High Data Throughput Reinforcement Learning on GPUs: A Domain Agnostic Framework for Data-Driven Scientific Research
di: Lan, Tian, et al.
Pubblicazione: (2024)

PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data
di: Tan, Juntao, et al.
Pubblicazione: (2025)

Prompt Optimization Via Diffusion Language Models
di: Wang, Shiyu, et al.
Pubblicazione: (2026)

AudioCapBench: Quick Evaluation on Audio Captioning across Sound, Music, and Speech
di: Qiu, Jielin, et al.
Pubblicazione: (2026)

ToolScan: A Benchmark for Characterizing Errors in Tool-Use LLMs
di: Kokane, Shirley, et al.
Pubblicazione: (2024)

GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation
di: Aksu, Taha, et al.
Pubblicazione: (2024)

Entropy-Based Block Pruning for Efficient Large Language Models
di: Yang, Liangwei, et al.
Pubblicazione: (2025)

Personalized Multi-task Training for Recommender System
di: Yang, Liangwei, et al.
Pubblicazione: (2024)

LATTE: Learning to Think with Vision Specialists
di: Ma, Zixian, et al.
Pubblicazione: (2024)

Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization
di: Yao, Weiran, et al.
Pubblicazione: (2023)