Papers
1–3 of 3Research Paper·Jan 22, 2026
Controlling Long-Horizon Behavior in Language Model Agents with Explicit State Dynamics
Large language model (LLM) agents often exhibit abrupt shifts in tone and persona during extended interaction, reflecting the absence of explicit temporal structure governing agent-level state. While ...
7.0 viability
Research Paper·Jan 20, 2026
Understanding Mental States to Guide Social Influence in Multi-Person Group Dialogue
Existing dynamic Theory of Mind (ToM) benchmarks mostly place language models in a passive role: the model reads a sequence of connected scenarios and reports what people believe, feel, intend, and do...
5.0 viability
Research Paper·Feb 27, 2026
LLM-Driven Multi-Turn Task-Oriented Dialogue Synthesis for Realistic Reasoning
The reasoning capability of large language models (LLMs), defined as their ability to analyze, infer, and make decisions based on input information, is essential for building intelligent task-oriented...
5.0 viability