Publications (4)
TCMD: A Traditional Chinese Medicine QA Dataset for Evaluating Large Language Models
Ping Yu, Kaitao Song, Fengchen He +2
The recently unprecedented advancements in Large Language Models (LLMs) have propelled the medical community by establishing advanced medical-domain models. However, due to the lim…
Simulating Dual-Pixel Images From Ray Tracing For Depth Estimation
Fengchen He, Dayang Zhao, Hao Xu +2
Many studies utilize dual-pixel (DP) sensor phase characteristics for various applications, such as depth estimation and deblurring. However, since the DP image features are entire…
FoundDP: Revisiting Weak Disparity Observability in Dual-Pixel Depth Estimation
Fengchen He, Hao Xu, Dayang Zhao +2
Dual-pixel (DP) imaging enables metric depth estimation from a single camera using sub-aperture disparity. However, the extremely small effective baseline limits disparity observab…
HiFloat4 Format for End-To-End Reinforcement Learning Post-Training of Large Language Models
Hei Yi Mak, Shadan Golestan, Hoang Le +10
The paper introduces HiFloat4, a 4-bit floating-point format and a Rollout Residual Quantization technique that enable end-to-end reinforcement learning post‑training of large lang…