5 citations · 8 across the 28 of their papers we have counts for
9 papers · 1 filter
GIFT: Goal-Injected Fine-Tuning for Efficient Manipulation Policy Adaptation
Xiaoyuan Fang, Shuo Feng, Yuxuan Wang +3
Compared with relying solely on initial observations and language instructions, predicting goal images with generative models as high-level visual guidance can significantly enhanc…
MI-Distillation: Selecting from Model-Interpolated Instruct-Reasoning Data Spectrum for Chain-of-Thought Distillation
Yangsong Lan, Renkai Hu, HongKai Zheng +4
Recent advances in large reasoning models (LRMs) have shown strong performance on complex problems through long chain-of-thought (Long CoT) reasoning. However, distilling such traj…
AirAlign: Geometry-Aware Relative Pose Alignment for UAV Last-Meter Navigation
Jinyi Zhou, Shuo Feng, Yufei Wu +1
Unmanned aerial vehicle (UAV) navigation in modern low-altitude environments requires more accurate pose alignment in the final approach stage for target information acquisition or…
ViSMoE: Visual-Aware Sparse Mixture-of-Experts for Embodied Referring Expression Grounding
Shuo Feng, Piji Li
Embodied Referring Expression Grounding is the task of enabling an agent to navigate in real environments and to localize a remote object based on natural language instructions. In…
DUD: Decoupled Update Dynamics for Reliable Uncertainty Quantification in Large Language Models
Yixin Bu, Runze Xia, Guanyun Zou +3
Accurate Uncertainty Quantification (UQ) is critical for reliable deployment of Large Language Models (LLMs), yet traditional probability-based metrics often fail to capture the mo…
Diversity-Oriented Fine-Tuning for Uncertainty-Based Hallucination Detection
Qiuyuan Li, Hongliang Dai, Piji Li
Existing hallucination detection methods are typically conducted at the inference stage, without making any modifications to the model itself. In this paper, we are interested in e…
DeLS-Spec: Decoupled Long-Short Contexts for Parallel Speculative Drafting
Hong-Kai Zheng, Piji Li
Speculative decoding accelerates LLM inference by drafting multiple tokens and verifying them in parallel. Block-parallel drafters such as DFlash further improve drafting efficienc…
CRISP: Compressing Redundancy in Chain-of-Thought via Intrinsic Saliency Pruning
Yangsong Lan, Hongliang Dai, Piji Li
Long Chain-of-Thought (CoT) reasoning is pivotal for the success of recent reasoning models but suffers from high computational overhead and latency. While prior works attempt to c…
Hallucination Mitigating for Medical Report Generation
Ruoqing Zhao, Runze Xia, Piji Li
In the realm of medical report generation (MRG), the integration of natural language processing has emerged as a vital tool to alleviate the workload of radiologists. Despite the i…