MIRAGE: A Benchmark for Multimodal Information-Seeking and Reasoning in Agricultural Expert-Guided Conversations by @vardhandongre.bsky.social Chi Gui, Hooshang Nayyeri, Shubham Garg, @gokhantur.bsky.social, @dilekh.bsky.social, Vikram Adve Read more here: mirage-benchmark.github.io

New Blog Alert: The Future of Human-Robot Conversation! We explore the evolution of embodied conversational agents beyond simple command followers. How will robots develop theory of mind, natural turn-taking, and truly understand human intentions? 🤖💬 #EmbodiedAI #HRI (1/2)

Introducing positive friction in goal-oriented dialogues boosts task success and efficiency! 🎯By strategically slowing down to ask, reveal, or pause, agents improve their understanding of user goals—leading to more efficient, aligned interactions. Read more below:

Mert İnan@merterm.bsky.social · last yr.

‼️ Ever wish LLMs would just... slow down for a second? In our latest work, "Better Slow than Sorry: Introducing Positive Friction for Reliable Dialogue Systems", we delve into how strategic delays can enhance dialogue systems. Paper Website: merterm.github.io/positive-fri...

Attending NeurIPS 2024? Learn about simulating users for embodied agents! Catch our work, "Simulating User Agents for Embodied Conversational AI," at the Open World Agents Workshop on Dec 15. Poster: tinyurl.com/yc42h4ud Audio: tinyurl.com/mr2hd35a @dilekh.bsky.social @gokhantur.bsky.social

Neurips24 Simulating Users.pptx

1 Acknowledgements Approach Results Motivation Introduction Simulating User Agents for Embodied Conversational AI Daniel Philipov, Vardhan Dongre, Gokhan Tur, Dilek Hakkani-Tür University of Illinois,...

tinyurl.com

Vardhan Dongre, Xiaocheng Yang, Emre Can Acikgoz, Suvodip Dey, Gokhan Tur, Dilek Hakkani-T\"ur ReSpAct: Harmonizing Reasoning, Speaking, and Acting Towards Building Large Language Model-Based Conversational AI Agents https://arxiv.org/abs/2411.00927