:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Nama, Vihaan, Mendi, Shreya, Ye, Zian, Bent, Brinnae
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2605.05626
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Speak or Stay Silent: Context-Aware Turn-Taking in Multi-Party Dialogue
by: Bhagtani, Kratika, et al.
Published: (2026)

The Term 'Agent' Has Been Diluted Beyond Utility and Requires Redefinition
by: Bent, Brinnae
Published: (2025)

Semantic Approach to Quantifying the Consistency of Diffusion Model Image Generation
by: Bent, Brinnae
Published: (2024)

It's the humans, not the data: Geopolitical bias in LLMs originates in post-training, amplified by the language of the prompt
by: Bladon, Stuart, et al.
Published: (2026)

Speak Out of Turn: Safety Vulnerability of Large Language Models in Multi-turn Dialogue
by: Zhou, Zhenhong, et al.
Published: (2024)

When Helpfulness Becomes Sycophancy: Sycophancy is a Boundary Failure Between Social Alignment and Epistemic Integrity in Large Language Models
by: Li, Jiechen, et al.
Published: (2026)

Conversation Forests: The Key to Fine Tuning Large Language Models for Multi-Turn Medical Conversations is Branching
by: Savage, Thomas
Published: (2025)

Syn-TurnTurk: A Synthetic Dataset for Turn-Taking Prediction in Turkish Dialogues
by: Bayrak, Ahmet Tuğrul, et al.
Published: (2026)

Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models
by: Ying, Zonghao, et al.
Published: (2025)

ReviewInstruct: A Review-Driven Multi-Turn Conversations Generation Method for Large Language Models
by: Wu, Jiangxu, et al.
Published: (2025)

Self-Anchoring Calibration Drift in Large Language Models: How Multi-Turn Conversations Reshape Model Confidence
by: Harshavardhan
Published: (2026)

Walking in Others' Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias
by: Xu, Rongwu, et al.
Published: (2024)

T1: A Tool-Oriented Conversational Dataset for Multi-Turn Agentic Planning
by: Chakraborty, Amartya, et al.
Published: (2025)

Multi-Party Supervised Fine-tuning of Language Models for Multi-Party Dialogue Generation
by: Wang, Xiaoyu, et al.
Published: (2024)

Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language Models
by: Li, Yubo, et al.
Published: (2025)

MPCEval: A Benchmark for Multi-Party Conversation Generation
by: Zhang, Minxing, et al.
Published: (2026)

Predicting Turn-Taking and Backchannel in Human-Machine Conversations Using Linguistic, Acoustic, and Visual Signals
by: Lin, Yuxin, et al.
Published: (2025)

JMedEthicBench: A Multi-Turn Conversational Benchmark for Evaluating Medical Safety in Japanese Large Language Models
by: Liu, Junyu, et al.
Published: (2026)

$μ$KE: Matryoshka Unstructured Knowledge Editing of Large Language Models
by: Su, Zian, et al.
Published: (2025)

Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models
by: Zhang, Siwei, et al.
Published: (2025)

Uncertainty as a Planning Signal: Multi-Turn Decision Making for Goal-Oriented Conversation
by: Ling, Xinyi, et al.
Published: (2026)

Synchronization and Turn-Taking in Full-Duplex Speech Dialogue Models
by: Riera, Pablo, et al.
Published: (2026)

DICE-BENCH: Evaluating the Tool-Use Capabilities of Large Language Models in Multi-Round, Multi-Party Dialogues
by: Jang, Kyochul, et al.
Published: (2025)

Does It Make Sense to Speak of Introspection in Large Language Models?
by: Comsa, Iulia M., et al.
Published: (2025)

MultiJustice: A Chinese Dataset for Multi-Party, Multi-Charge Legal Prediction
by: Wang, Xiao, et al.
Published: (2025)

Can Large Language Models Generate Effective Datasets for Emotion Recognition in Conversations?
by: Kaplan, Burak Can, et al.
Published: (2025)

CodeArt: Better Code Models by Attention Regularization When Symbols Are Lacking
by: Su, Zian, et al.
Published: (2024)

ContextQFormer: A New Context Modeling Method for Multi-Turn Multi-Modal Conversations
by: Lei, Yiming, et al.
Published: (2025)

PoliticsBench: Benchmarking Political Values in Large Language Models with Multi-Turn Roleplay
by: Khetan, Rohan, et al.
Published: (2026)

CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference
by: Yu, Erxin, et al.
Published: (2024)

Multi-Turn Context Jailbreak Attack on Large Language Models From First Principles
by: Sun, Xiongtao, et al.
Published: (2024)

ICPO: Illocution-Calibrated Policy Optimization for Multi-Turn Conversation
by: Wang, Zhebo, et al.
Published: (2026)

Machine Unlearning in Large Language Models
by: Gundavarapu, Saaketh Koundinya, et al.
Published: (2024)

Multi-Turn Interactions for Text-to-SQL with Large Language Models
by: Xiong, Guanming, et al.
Published: (2024)

GLEaN: A Text-to-image Bias Detection Approach for Public Comprehension
by: Ding, Bochu, et al.
Published: (2026)

Who Speaks Next? Multi-party AI Discussion Leveraging the Systematics of Turn-taking in Murder Mystery Games
by: Nonomura, Ryota, et al.
Published: (2024)

JAL-Turn: Joint Acoustic-Linguistic Modeling for Real-Time and Robust Turn-Taking Detection in Full-Duplex Spoken Dialogue Systems
by: Yang, Guangzhao, et al.
Published: (2026)

MTMCS-Bench: Evaluating Contextual Safety of Multimodal Large Language Models in Multi-Turn Dialogues
by: Liu, Zheyuan, et al.
Published: (2026)

Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models
by: Yan, Shaotian, et al.
Published: (2025)

Intent Mismatch Causes LLMs to Get Lost in Multi-Turn Conversation
by: Liu, Geng, et al.
Published: (2026)