12 citations · 24 across the 18 of their papers we have counts for
6 papers · 1 filter
Compositional Self-Improvement: Promises and Pitfalls
Changho Shin, Daiwei Chen, Brenden Lake +2
Although self-improvement is becoming increasingly important as tasks become more complex, models struggle to generate reliable supervision for harder, out-of-distribution instance…
GRASP: Graph Agentic Search over Propositions for Multi-hop Question Answering
Stockton Jenkins, Ramya Korlakai Vinayak, Junjie Hu
Agentic retrieval improves multi-hop question answering by giving language models autonomy to iteratively gather evidence. Recent work augments these systems with knowledge graphs…
Grounded Token Initialization for New Vocabulary in LMs for Generative Recommendation
Daiwei Chen, Zhoutong Fu, Chengming Jiang +12
Language models (LMs) are increasingly extended with new learnable vocabulary tokens for domain-specific tasks, such as Semantic-ID tokens in generative recommendation. The standar…
Is Conformal Factuality for RAG-based LLMs Robust? Novel Metrics and Systematic Insights
Yi Chen, Daiwei Chen, Sukrut Madhav Chikodikar +2
Large language models (LLMs) frequently hallucinate, limiting their reliability in knowledge-intensive applications. Retrieval-augmented generation (RAG) and conformal factuality h…
Almost Asymptotically Optimal Active Clustering Through Pairwise Observations
Rachel S. Y. Teo, P. N. Karthik, Ramya Korlakai Vinayak +1
We propose a new analysis framework for clustering items into an unknown number of distinct groups using noisy and actively collected responses. At each time step, an agent…
Agentic Very Long Video Understanding
Aniket Rege, Arka Sadhu, Yuliang Li +5
The advent of always-on personal AI assistants, enabled by all-day wearable devices such as smart glasses, demands a new level of contextual understanding, one that goes beyond sho…