The Chameleon Nature of LLMs: Quantifying Multi-Turn Stance Instability in Search-Enabled Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ratnakar, Shivam, Raghavendra, Sanjay
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

STARLING: Self-supervised Training of Text-based Reinforcement Learning Agent with Large Language Models
by: Basavatia, Shreyas, et al.
Published: (2024)

Beyond QA Pairs: Assessing Parameter-Efficient Fine-Tuning for Fact Embedding in LLMs
by: Ratnakar, Shivam, et al.
Published: (2025)

Chain of Stance: Stance Detection with Large Language Models
by: Ma, Junxia, et al.
Published: (2024)

Thinker: Training LLMs in Hierarchical Thinking for Deep Search via Multi-Turn Interaction
by: Xu, Jun, et al.
Published: (2025)

MM-StanceDet: Retrieval-Augmented Multi-modal Multi-agent Stance Detection
by: Lu, Weihai, et al.
Published: (2026)

Are Stereotypes Leading LLMs' Zero-Shot Stance Detection ?
by: Dubreuil, Anthony, et al.
Published: (2025)

Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models
by: Jiang, Bohan, et al.
Published: (2024)

Tempest: Autonomous Multi-Turn Jailbreaking of Large Language Models with Tree Search
by: Zhou, Andy, et al.
Published: (2025)

Exploring Vision Language Models for Multimodal and Multilingual Stance Detection
by: Vasilakes, Jake, et al.
Published: (2025)

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

Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts
by: Xie, Jian, et al.
Published: (2023)

Acting Flatterers via LLMs Sycophancy: Combating Clickbait with LLMs Opposing-Stance Reasoning
by: Zhang, Chaowei, et al.
Published: (2026)

Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models
by: Zhou, Tianyi, et al.
Published: (2025)

Language Independent Stance Detection: Social Interaction-based Embeddings and Large Language Models
by: de Landa, Joseba Fernandez, et al.
Published: (2022)

Are Large Language Models Chameleons? An Attempt to Simulate Social Surveys
by: Geng, Mingmeng, et al.
Published: (2024)

Forget What You Know about LLMs Evaluations -- LLMs are Like a Chameleon
by: Cohen-Inger, Nurit, et al.
Published: (2025)

Collaborative Stance Detection via Small-Large Language Model Consistency Verification
by: Yan, Yu, et al.
Published: (2025)

Examining the Influence of Political Bias on Large Language Model Performance in Stance Classification
by: Ng, Lynnette Hui Xian, et al.
Published: (2024)

Prompting and Fine-Tuning Open-Sourced Large Language Models for Stance Classification
by: Cruickshank, Iain J., et al.
Published: (2023)

CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models
by: Lv, Huijie, et al.
Published: (2024)

Stance Reasoner: Zero-Shot Stance Detection on Social Media with Explicit Reasoning
by: Taranukhin, Maksym, et al.
Published: (2024)

Beyond Continuity: Challenges of Context Switching in Multi-Turn Dialogue with LLMs
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)

Debiasing Large Language Models in Thai Political Stance Detection via Counterfactual Calibration
by: Sermsri, Kasidit, et al.
Published: (2025)

TurnWise: The Gap between Single- and Multi-turn Language Model Capabilities
by: Graf, Victoria, et al.
Published: (2026)

When Attention Closes: How LLMs Lose the Thread in Multi-Turn Interaction
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)

Multilingual Target-Stance Extraction
by: Mines, Ethan, 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)

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

TIPS: Turn-Level Information-Potential Reward Shaping for Search-Augmented LLMs
by: Xie, Yutao, et al.
Published: (2026)

KUET at StanceNakba Shared Task: StanceMoE: Mixture-of-Experts Architecture for Stance Detection
by: Shafi, Abdullah Al, et al.
Published: (2026)

QRA++: Quantified Reproducibility Assessment for Common Types of Results in Natural Language Processing
by: Belz, Anya
Published: (2025)

ChartEditBench: Evaluating Grounded Multi-Turn Chart Editing in Multimodal Language Models
by: Kapadnis, Manav Nitin, 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)

Same Evidence, Different Answers: Canonical-Context On-Policy Distillation for Multi-Turn Language Models
by: Lin, Zizhuo, et al.
Published: (2026)

Quantifying Semantic Emergence in Language Models
by: Chen, Hang, et al.
Published: (2024)

Verifying Rumors via Stance-Aware Structural Modeling
by: Nkhata, Gibson, et al.
Published: (2025)