Do LLM Agents Mirror Socio-Cognitive Effects in Power-Asymmetric Conversations?
cs.CL
Submitted: 2026-05-17
Updated: 2026-08-27
Code: https://github.com/nvshrao/power-asymmetric-conversations
Terminology
Sources
- Phi-4 Technical Report
- Scaling Synthetic Data Creation with 1,000,000,000 Personas
- Capabilities of GPT-4 on Medical Challenge Problems
- Beyond One-Way Influence: Bidirectional Opinion Dynamics in Multi-Turn Human-LLM Interactions
- CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society
- Large Language Models Show Human-like Social Desirability Biases in Survey Responses
- Towards Understanding Sycophancy in Language Models
- Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives
- SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents
Related papers
- Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
- Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
- Subliminal Steering: Stronger Encoding of Hidden Signals
- MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
- The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
- Untangling the Mechanisms of Misleading Context in Medical Question Answering