MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Xingyao, Wang, Zihan, Liu, Jiateng, Chen, Yangyi, Yuan, Lifan, Peng, Hao, Ji, Heng |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets
by: Yuan, Lifan, et al.
Published: (2023)
by: Yuan, Lifan, et al.
Published: (2023)
Examining LLMs' Uncertainty Expression Towards Questions Outside Parametric Knowledge
by: Liu, Genglin, et al.
Published: (2023)
by: Liu, Genglin, et al.
Published: (2023)
Executable Code Actions Elicit Better LLM Agents
by: Wang, Xingyao, et al.
Published: (2024)
by: Wang, Xingyao, et al.
Published: (2024)
LeTI: Learning to Generate from Textual Interactions
by: Wang, Xingyao, et al.
Published: (2023)
by: Wang, Xingyao, et al.
Published: (2023)
SOLO: A Single Transformer for Scalable Vision-Language Modeling
by: Chen, Yangyi, et al.
Published: (2024)
by: Chen, Yangyi, et al.
Published: (2024)
SyncMind: Measuring Agent Out-of-Sync Recovery in Collaborative Software Engineering
by: Guo, Xuehang, et al.
Published: (2025)
by: Guo, Xuehang, et al.
Published: (2025)
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales
by: Xu, Tianyang, et al.
Published: (2024)
by: Xu, Tianyang, et al.
Published: (2024)
A Decade-Scale Benchmark Evaluating LLMs' Clinical Practice Guidelines Detection and Adherence in Multi-turn Conversations
by: Tan, Andong, et al.
Published: (2026)
by: Tan, Andong, et al.
Published: (2026)
Scaling Laws for Predicting Downstream Performance in LLMs
by: Chen, Yangyi, et al.
Published: (2024)
by: Chen, Yangyi, et al.
Published: (2024)
MAC: A Multi-Agent Framework for Interactive User Clarification in Multi-turn Conversations
by: Acikgoz, Emre Can, et al.
Published: (2025)
by: Acikgoz, Emre Can, et al.
Published: (2025)
Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types
by: Guo, Ziming, et al.
Published: (2024)
by: Guo, Ziming, et al.
Published: (2024)
MedAction: Towards Active Multi-turn Clinical Diagnostic LLMs
by: Hsu, Hsin-Ling, et al.
Published: (2026)
by: Hsu, Hsin-Ling, et al.
Published: (2026)
CreativityBench: Evaluating Agent Creative Reasoning via Affordance-Based Tool Repurposing
by: Qian, Cheng, et al.
Published: (2026)
by: Qian, Cheng, et al.
Published: (2026)
M2S: Multi-turn to Single-turn jailbreak in Red Teaming for LLMs
by: Ha, Junwoo, et al.
Published: (2025)
by: Ha, Junwoo, et al.
Published: (2025)
From $f(x)$ and $g(x)$ to $f(g(x))$: LLMs Learn New Skills in RL by Composing Old Ones
by: Yuan, Lifan, et al.
Published: (2025)
by: Yuan, Lifan, et al.
Published: (2025)
Visually Descriptive Language Model for Vector Graphics Reasoning
by: Wang, Zhenhailong, et al.
Published: (2024)
by: Wang, Zhenhailong, et al.
Published: (2024)
ToolPlanner: A Tool Augmented LLM for Multi Granularity Instructions with Path Planning and Feedback
by: Wu, Qinzhuo, et al.
Published: (2024)
by: Wu, Qinzhuo, et al.
Published: (2024)
SafeMT: Multi-turn Safety for Multimodal Language Models
by: Zhu, Han, et al.
Published: (2025)
by: Zhu, Han, et al.
Published: (2025)
From Self-Evolving Synthetic Data to Verifiable-Reward RL: Post-Training Multi-turn Interactive Tool-Using Agents
by: Gao, Jiaxuan, et al.
Published: (2026)
by: Gao, Jiaxuan, et al.
Published: (2026)
Foot-In-The-Door: A Multi-turn Jailbreak for LLMs
by: Weng, Zixuan, et al.
Published: (2025)
by: Weng, Zixuan, et al.
Published: (2025)
UltraFeedback: Boosting Language Models with Scaled AI Feedback
by: Cui, Ganqu, et al.
Published: (2023)
by: Cui, Ganqu, et al.
Published: (2023)
LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models
by: Han, Chi, et al.
Published: (2023)
by: Han, Chi, et al.
Published: (2023)
Benchmarking Large Language Models on CFLUE -- A Chinese Financial Language Understanding Evaluation Dataset
by: Zhu, Jie, et al.
Published: (2024)
by: Zhu, Jie, et al.
Published: (2024)
From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions
by: Qu, Changle, et al.
Published: (2024)
by: Qu, Changle, et al.
Published: (2024)
ToolGate: Contract-Grounded and Verified Tool Execution for LLMs
by: Liu, Yanming, et al.
Published: (2026)
by: Liu, Yanming, et al.
Published: (2026)
Broaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs with Semantic Space
by: Chen, Zhiliang, et al.
Published: (2025)
by: Chen, Zhiliang, et al.
Published: (2025)
Small LLMs Are Weak Tool Learners: A Multi-LLM Agent
by: Shen, Weizhou, et al.
Published: (2024)
by: Shen, Weizhou, et al.
Published: (2024)
TestAgent: Automatic Benchmarking and Exploratory Interaction for Evaluating LLMs in Vertical Domains
by: Wang, Wanying, et al.
Published: (2024)
by: Wang, Wanying, et al.
Published: (2024)
Time Is a Feature: Exploiting Temporal Dynamics in Diffusion Language Models
by: Wang, Wen, et al.
Published: (2025)
by: Wang, Wen, et al.
Published: (2025)
Context Engineering for Trustworthiness: Rescorla Wagner Steering Under Mixed and Inappropriate Contexts
by: Wang, Rushi, et al.
Published: (2025)
by: Wang, Rushi, et al.
Published: (2025)
Multimodal Policy Internalization for Conversational Agents
by: Wang, Zhenhailong, et al.
Published: (2025)
by: Wang, Zhenhailong, et al.
Published: (2025)
EasyJudge: an Easy-to-use Tool for Comprehensive Response Evaluation of LLMs
by: Li, Yijie, et al.
Published: (2024)
by: Li, Yijie, et al.
Published: (2024)
Speak Out of Turn: Safety Vulnerability of Large Language Models in Multi-turn Dialogue
by: Zhou, Zhenhong, et al.
Published: (2024)
by: Zhou, Zhenhong, et al.
Published: (2024)
Token Statistics Reveal Conversational Drift in Multi-turn LLM Interaction
by: Hafez, Wael, et al.
Published: (2026)
by: Hafez, Wael, et al.
Published: (2026)
Evaluating LLMs' Divergent Thinking Capabilities for Scientific Idea Generation with Minimal Context
by: Ruan, Kai, et al.
Published: (2024)
by: Ruan, Kai, et al.
Published: (2024)
TQA-Bench: Evaluating LLMs for Multi-Table Question Answering with Scalable Context and Symbolic Extension
by: Qiu, Zipeng, et al.
Published: (2024)
by: Qiu, Zipeng, et al.
Published: (2024)
PromptTailor: Multi-turn Intent-Aligned Prompt Synthesis for Lightweight LLMs
by: Xu, Yizhou, et al.
Published: (2025)
by: Xu, Yizhou, et al.
Published: (2025)
Rethinking Patient Education as Multi-turn Multi-modal Interaction
by: Yao, Zonghai, et al.
Published: (2026)
by: Yao, Zonghai, et al.
Published: (2026)
M$^3$FinMeeting: A Multilingual, Multi-Sector, and Multi-Task Financial Meeting Understanding Evaluation Dataset
by: Zhu, Jie, et al.
Published: (2025)
by: Zhu, Jie, et al.
Published: (2025)
Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain
by: Cheng, Gang, et al.
Published: (2025)
by: Cheng, Gang, et al.
Published: (2025)
Similar Items
-
CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets
by: Yuan, Lifan, et al.
Published: (2023) -
Examining LLMs' Uncertainty Expression Towards Questions Outside Parametric Knowledge
by: Liu, Genglin, et al.
Published: (2023) -
Executable Code Actions Elicit Better LLM Agents
by: Wang, Xingyao, et al.
Published: (2024) -
LeTI: Learning to Generate from Textual Interactions
by: Wang, Xingyao, et al.
Published: (2023) -
SOLO: A Single Transformer for Scalable Vision-Language Modeling
by: Chen, Yangyi, et al.
Published: (2024)