1 citations · 1 across the 5 of their papers we have counts for
5 papers
Quark Medical Alignment: A Holistic Multi-Dimensional Alignment and Collaborative Optimization Paradigm
Tianxiang Xu, Jiayi Liu, Yixuan Tong +10
While reinforcement learning for large language model alignment has progressed rapidly in recent years, transferring these paradigms to high-stakes medical question answering revea…
On the Regulatory Potential of User Interfaces for AI Agent Governance
K. J. Kevin Feng, Tae Soo Kim, Rock Yuren Pang +3
AI agents that take actions in their environment autonomously over extended time horizons require robust governance interventions to curb their potentially consequential risks. Pri…
DualGR: Generative Retrieval with Long and Short-Term Interests Modeling
Zhongchao Yi, Kai Feng, Xiaojian Ma +5
In large-scale industrial recommendation systems, retrieval must produce high-quality candidates from massive corpora under strict latency. Recently, Generative Retrieval (GR) has…
Interactive Reasoning: Visualizing and Controlling Chain-of-Thought Reasoning in Large Language Models
Rock Yuren Pang, K. J. Kevin Feng, Shangbin Feng +5
The output quality of large language models (LLMs) can be improved via "reasoning": generating segments of chain-of-thought (CoT) content to further condition the model prior to pr…
InsQABench: Benchmarking Chinese Insurance Domain Question Answering with Large Language Models
Jing Ding, Kai Feng, Binbin Lin +6
The application of large language models (LLMs) has achieved remarkable success in various fields, but their effectiveness in specialized domains like the Chinese insurance industr…