activity
20242026
most citedRaw Text is All you Need: Knowledge-intensive Multi-turn Instruction Tuning for Large Language Model

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.RO2026

RawVLA: Embodied Neural Image Signal Processor For Robotic Manipulation

Shuhong Liu, Heng Zhou, Lingfeng Qian +7

Vision-language-action (VLA) models typically operate on RGB images produced by a fixed camera image signal processor (ISP), leaving the imaging pipeline outside the learning and e…

cs.CV2026

X-Lens: Real-Time Metric Depth Estimation with Heterogeneous Cameras

Heng Zhou, Shuhong Liu, Yonghao He +6

We present X-lens, a compact feed-forward model for metric depth estimation from a variable number of calibrated fisheye and pinhole views. To support real-time downstream percepti…

cs.CV2026

RSGen: Enhancing Layout-Driven Remote Sensing Image Generation with Diverse Edge Guidance

Xianbao Hou, Yonghao He, Zeyd Boukhers +4

Diffusion models have significantly mitigated the impact of annotated data scarcity in remote sensing (RS). Although recent approaches have successfully harnessed these models to e…

cs.CV2025

InstaDA: Augmenting Instance Segmentation Data with Dual-Agent System

Xianbao Hou, Yonghao He, Zeyd Boukhers +4

Acquiring high-quality instance segmentation data is challenging due to the labor-intensive nature of the annotation process and significant class imbalances within datasets. Recen…

cs.CL2024

An Unsupervised Dialogue Topic Segmentation Model Based on Utterance Rewriting

Xia Hou, Qifeng Li, Tongliang Li

Dialogue topic segmentation plays a crucial role in various types of dialogue modeling tasks. The state-of-the-art unsupervised DTS methods learn topic-aware discourse representati…

cs.CL2024★ 1 cited

Raw Text is All you Need: Knowledge-intensive Multi-turn Instruction Tuning for Large Language Model

Xia Hou, Qifeng Li, Jian Yang +8

Instruction tuning as an effective technique aligns the outputs of large language models (LLMs) with human preference. But how to generate the seasonal multi-turn dialogues from ra…