most citedLLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation

24 citations · 29 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025

MomaGraph: State-Aware Unified Scene Graphs with Vision-Language Model for Embodied Task Planning

Yuanchen Ju, Yongyuan Liang, Yen-Jen Wang +7

Mobile manipulators in households must both navigate and manipulate. This requires a compact, semantically rich scene representation that captures where objects are, how they funct…

cs.RO2025

Learning Dexterous Manipulation Skills from Imperfect Simulations

Elvis Hsieh, Wen-Han Hsieh, Yen-Jen Wang +4

Reinforcement learning and sim-to-real transfer have made significant progress in dexterous manipulation. However, progress remains limited by the difficulty of simulating complex…

cs.AI2025

Seg the HAB: Language-Guided Geospatial Algae Bloom Reasoning and Segmentation

Patterson Hsieh, Jerry Yeh, Mao-Chi He +2

Climate change is intensifying the occurrence of harmful algal bloom (HAB), particularly cyanobacteria, which threaten aquatic ecosystems and human health through oxygen depletion,…

cs.AI2025

Do What? Teaching Vision-Language-Action Models to Reject the Impossible

Wen-Han Hsieh, Elvis Hsieh, Dantong Niu +3

Recently, Vision-Language-Action (VLA) models have demonstrated strong performance on a range of robotic tasks. These models rely on multimodal inputs, with language instructions p…

cs.LG2024

Reasoning and Tools for Human-Level Forecasting

Elvis Hsieh, Preston Fu, Jonathan Chen

Language models (LMs) trained on web-scale datasets are largely successful due to their ability to memorize large amounts of training data, even if only present in a few examples.…

cs.LG2024★ 5 cited

A StrongREJECT for Empty Jailbreaks

Alexandra Souly, Qingyuan Lu, Dillon Bowen +8

Most jailbreak papers claim the jailbreaks they propose are highly effective, often boasting near-100% attack success rates. However, it is perhaps more common than not for jailbre…

cs.CL2024★ 24 cited

LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation

Yuan Chiang, Elvis Hsieh, Chia-Hong Chou +1

Reducing hallucination of Large Language Models (LLMs) is imperative for use in the sciences, where reliability and reproducibility are crucial. However, LLMs inherently lack long-…