8 citations · 8 across the 9 of their papers we have counts for
4 papers · 1 filter
Human-AI Co-Creativity: Advances, Opportunities, and Challenges
Adish Singla, Abhilasha Ravichander, Liwei Jiang +7
This survey article has grown out of the human-AI co-creativity workshop organized by the authors at the ICML 2026 conference. We organized this workshop as part of a community-bui…
Uncertainty-Aware Budget Allocation for Adaptive Test-Time Reasoning
Manh Nguyen, Sunil Gupta, Hung Le
Sampling multiple responses improves language model reasoning, but uniform compute allocation is inefficient because easy questions are over-sampled while hard questions remain und…
Efficient Best-Of-N with Radial Consensus Score
Manh Nguyen, Sunil Gupta, Hung Le
Solving complex problems with large language models (LLMs) often requires selecting the best answer from multiple candidate responses (best-of-), yet identifying the most reliab…
Hear Both Sides: Efficient Multi-Agent Debate via Diversity-Aware Message Retention
Manh Nguyen, Anh Nguyen, Dung Nguyen +2
Multi-Agent Debate has emerged as a promising framework for improving the reasoning quality of large language models through iterative inter-agent communication. However, broadcast…