From the 2 of 19 linked papers with an AI index.
19 papers
Learning to Persuade Exposes How Easily LLMs Abandon Correct Beliefs
Nimet Beyza Bozdag, Emre Can Acikgoz, Gokhan Tur +1
Persuasion is a core dynamic of natural language communication, shaping how large language models (LLMs) update beliefs, resolve disagreements, and reach decisions. As LLMs increas…
PredAct-Bench: Benchmarking Tool-Augmented Dialogue under Controlled Tool Noise
Abdulrahman AlRabah, Xiaocheng Yang, Dilek Hakkani-Tür +1
Large Language Models (LLMs) are increasingly deployed in task-oriented dialogue systems that support multi-step decision-making in high-stakes domains such as education, healthcar…
Reasoning Consensus: Structural Ensembling of LLM Reasoning via Weighted DAG Aggregation
Amruta Parulekar, Jinu Lee, Dilek Hakkani-Tür +1
Large Language Models (LLMs) explore problems through chain-of-thought, but this exploration is buried in unstructured prose. On high-stakes tasks, users cannot tell which steps ar…
DuplexGen: Adaptive Synthesis of Human-AI Turn-Taking Dialogues
Takyoung Kim, Kang-wook Kim, Sang Hoon Woo +3
The paper presents DuplexGen, a framework that uses a small set of human preference annotations to adaptively generate turn‑taking behaviors in AI‑human dialogues across different…
Embodied Multi-Agent Coordination by Aligning World Models Through Dialogue
Vardhan Dongre, Dilek Hakkani-Tür
Effective collaboration between embodied agents requires more than acting in a shared environment; it demands communication grounded in each agent's evolving understanding of the w…
Trajectory-Level Redirection Attacks on Vision-Language-Action Models
Gokul Puthumanaillam, Vardhan Dongre, Pranay Thangeda +3
Vision-language-action (VLA) policies bring natural language into closed-loop robot control, enabling robots to execute manipulation tasks directly from text instructions. The same…