Auditing Support Strategies in LLMs through Grounded Multi-Turn Social Simulation
Fuente:
arXiv
Saved in:
| Main Authors: | Star, Michelle, Aquilina, Andrew, Lin, Yu-Ru |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Emotional Supporters often Use Multiple Strategies in a Single Turn
by: Bai, Xin, et al.
Published: (2025)
by: Bai, Xin, et al.
Published: (2025)
OMIND: Framework for Knowledge Grounded Finetuning and Multi-Turn Dialogue Benchmark for Mental Health LLMs
by: Racha, Suraj, et al.
Published: (2026)
by: Racha, Suraj, et al.
Published: (2026)
MT-OSC: Path for LLMs that Get Lost in Multi-Turn Conversation
by: Singh, Jyotika, et al.
Published: (2026)
by: Singh, Jyotika, et al.
Published: (2026)
RMTBench: Benchmarking LLMs Through Multi-Turn User-Centric Role-Playing
by: Xiang, Hao, et al.
Published: (2025)
by: Xiang, Hao, et al.
Published: (2025)
Modeling Multiple Support Strategies within a Single Turn for Emotional Support Conversations
by: Zhu, Jie, et al.
Published: (2026)
by: Zhu, Jie, et al.
Published: (2026)
Test-Time Policy Adaptation for Enhanced Multi-Turn Interactions with LLMs
by: Wei, Chenxing, et al.
Published: (2025)
by: Wei, Chenxing, et al.
Published: (2025)
Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following
by: He, Yun, et al.
Published: (2024)
by: He, Yun, et al.
Published: (2024)
Say It Another Way: Auditing LLMs with a User-Grounded Automated Paraphrasing Framework
by: Chataigner, Cléa, et al.
Published: (2025)
by: Chataigner, Cléa, et al.
Published: (2025)
LLMs Get Lost In Multi-Turn Conversation
by: Laban, Philippe, et al.
Published: (2025)
by: Laban, Philippe, et al.
Published: (2025)
Multi-Document Grounded Multi-Turn Synthetic Dialog Generation
by: Lee, Young-Suk, et al.
Published: (2024)
by: Lee, Young-Suk, et al.
Published: (2024)
Persona-Grounded Safety Evaluation of AI Companions in Multi-Turn Conversations
by: Juneja, Prerna, et al.
Published: (2026)
by: Juneja, Prerna, et al.
Published: (2026)
Synthetic Users, Real Differences: an Evaluation Framework for User Simulation in Multi-Turn Conversations
by: Liu, Yu Lu, et al.
Published: (2026)
by: Liu, Yu Lu, et al.
Published: (2026)
SimulatorArena: Are User Simulators Reliable Proxies for Multi-Turn Evaluation of AI Assistants?
by: Dou, Yao, et al.
Published: (2025)
by: Dou, Yao, et al.
Published: (2025)
TRACES: Proactive Safety Auditing for Multi-Turn LLM Agents via Trajectory-State Modeling
by: Li, Jiaqian, et al.
Published: (2026)
by: Li, Jiaqian, et al.
Published: (2026)
Found in Conversation: LLMs Teach Themselves to Close the Multi-Turn Gap
by: Chen, Tianlang, et al.
Published: (2026)
by: Chen, Tianlang, et al.
Published: (2026)
Multi-Turn Puzzles: Evaluating Interactive Reasoning and Strategic Dialogue in LLMs
by: Badola, Kartikeya, et al.
Published: (2025)
by: Badola, Kartikeya, et al.
Published: (2025)
SimulRAG: Simulator-based RAG for Grounding LLMs in Long-form Scientific QA
by: Xu, Haozhou, et al.
Published: (2025)
by: Xu, Haozhou, et al.
Published: (2025)
PatchBoard: Schema-Grounded State Mutation for Reliable and Auditable LLM Multi-Agent Collaboration
by: Zhang, Shuyu, et al.
Published: (2026)
by: Zhang, Shuyu, et al.
Published: (2026)
The Need for a Socially-Grounded Persona Framework for User Simulation
by: Venkit, Pranav Narayanan, et al.
Published: (2026)
by: Venkit, Pranav Narayanan, et al.
Published: (2026)
SocialSim: Towards Socialized Simulation of Emotional Support Conversation
by: Chen, Zhuang, et al.
Published: (2025)
by: Chen, Zhuang, et al.
Published: (2025)
DIAL: Direct Iterative Adversarial Learning for Realistic Multi-Turn Dialogue Simulation
by: Zhu, Ziyi, et al.
Published: (2025)
by: Zhu, Ziyi, et al.
Published: (2025)
Thinker: Training LLMs in Hierarchical Thinking for Deep Search via Multi-Turn Interaction
by: Xu, Jun, et al.
Published: (2025)
by: Xu, Jun, et al.
Published: (2025)
Note2Chat: Improving LLMs for Multi-Turn Clinical History Taking Using Medical Notes
by: Zhou, Yang, et al.
Published: (2026)
by: Zhou, Yang, et al.
Published: (2026)
Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues
by: Ou, Jiao, et al.
Published: (2024)
by: Ou, Jiao, et al.
Published: (2024)
Consistently Simulating Human Personas with Multi-Turn Reinforcement Learning
by: Abdulhai, Marwa, et al.
Published: (2025)
by: Abdulhai, Marwa, et al.
Published: (2025)
Reasoning Is Not All You Need: Examining LLMs for Multi-Turn Mental Health Conversations
by: Chandra, Mohit, et al.
Published: (2025)
by: Chandra, Mohit, et al.
Published: (2025)
NaturalTurn: A Method to Segment Speech into Psychologically Meaningful Conversational Turns
by: Cooney, Gus, et al.
Published: (2024)
by: Cooney, Gus, et al.
Published: (2024)
MedMT-Bench: Can LLMs Memorize and Understand Long Multi-Turn Conversations in Medical Scenarios?
by: Yang, Lin, et al.
Published: (2026)
by: Yang, Lin, et al.
Published: (2026)
Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation
by: Tang, Shuo, et al.
Published: (2024)
by: Tang, Shuo, et al.
Published: (2024)
Eliciting Behaviors in Multi-Turn Conversations
by: Huang, Jing, et al.
Published: (2025)
by: Huang, Jing, et al.
Published: (2025)
Beyond Continuity: Challenges of Context Switching in Multi-Turn Dialogue with LLMs
by: Sinha, Aditya, et al.
Published: (2026)
by: Sinha, Aditya, et al.
Published: (2026)
Intent Mismatch Causes LLMs to Get Lost in Multi-Turn Conversation
by: Liu, Geng, et al.
Published: (2026)
by: Liu, Geng, et al.
Published: (2026)
The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input
by: Jacovi, Alon, et al.
Published: (2025)
by: Jacovi, Alon, et al.
Published: (2025)
ContextualLVLM-Agent: A Holistic Framework for Multi-Turn Visually-Grounded Dialogue and Complex Instruction Following
by: Han, Seungmin, et al.
Published: (2025)
by: Han, Seungmin, et al.
Published: (2025)
RexDrug: Reliable Multi-Drug Combination Extraction through Reasoning-Enhanced LLMs
by: Wang, Zhijun, et al.
Published: (2026)
by: Wang, Zhijun, et al.
Published: (2026)
When Attention Closes: How LLMs Lose the Thread in Multi-Turn Interaction
by: Dongre, Vardhan, et al.
Published: (2026)
by: Dongre, Vardhan, et al.
Published: (2026)
MultiChallenge: A Realistic Multi-Turn Conversation Evaluation Benchmark Challenging to Frontier LLMs
by: Sirdeshmukh, Ved, et al.
Published: (2025)
by: Sirdeshmukh, Ved, et al.
Published: (2025)
ChartEditBench: Evaluating Grounded Multi-Turn Chart Editing in Multimodal Language Models
by: Kapadnis, Manav Nitin, et al.
Published: (2026)
by: Kapadnis, Manav Nitin, et al.
Published: (2026)
The Slow Drift of Support: Boundary Failures in Multi-Turn Mental Health LLM Dialogues
by: Cheng, Youyou, et al.
Published: (2026)
by: Cheng, Youyou, et al.
Published: (2026)
Toward Responsible and Epistemically Grounded Multilingual LLMs for Computational Social Science and Humanities
by: Zaghouani, Wajdi
Published: (2026)
by: Zaghouani, Wajdi
Published: (2026)
Similar Items
-
Emotional Supporters often Use Multiple Strategies in a Single Turn
by: Bai, Xin, et al.
Published: (2025) -
OMIND: Framework for Knowledge Grounded Finetuning and Multi-Turn Dialogue Benchmark for Mental Health LLMs
by: Racha, Suraj, et al.
Published: (2026) -
MT-OSC: Path for LLMs that Get Lost in Multi-Turn Conversation
by: Singh, Jyotika, et al.
Published: (2026) -
RMTBench: Benchmarking LLMs Through Multi-Turn User-Centric Role-Playing
by: Xiang, Hao, et al.
Published: (2025) -
Modeling Multiple Support Strategies within a Single Turn for Emotional Support Conversations
by: Zhu, Jie, et al.
Published: (2026)