32 citations · 41 across the 16 of their papers we have counts for
17 papers
Many Right Answers, One Training Example: Removing Responder Noise from GRPO for LLM Recommenders
Xin Li, Hao Jiang, Jinghao Guo +2
A recommendation request on Reddit draws several replies, each naming different titles. When an LLM recommender is trained on such threads with reinforcement learning (RL), which r…
RobustMAD: Evaluating Real-World Robustness of Multimodal Small Language Models for Deployable Anomaly Detection Assistants
Anushiya Arunan, Xin Li, Yan Qin +4
Multimodal industrial anomaly inspection assistants are a critical component of next-generation smart factories, enabling interactive vision-language-based querying. However, multi…
COIG-Writer: A High-Quality Dataset for Chinese Creative Writing with Thought Processes
Yunwen Li, Shuangshuang Ying, Xingwei Qu +16
Large language models exhibit systematic deficiencies in creative writing, particularly in non-English contexts where training data is scarce and lacks process-level supervision. W…
Beyond Correctness: Evaluating Subjective Writing Preferences Across Cultures
Shuangshuang Ying, Yunwen Li, Xingwei Qu +21
Current preference learning methods achieve high accuracy on standard benchmarks but exhibit significant performance degradation when objective quality signals are removed. We intr…
WirelessMathBench-XL: An Auditable Benchmark for Wireless Mathematical Reasoning
Xin Li, Mengbing Liu, Yiyang Zhu +4
Technical-domain benchmarks constructed from arXiv papers can overlap the same public text used in LLM pretraining. Auditing this risk at training-corpus scale requires searching b…
Local Success Does Not Compose: Benchmarking Large Language Models for Compositional Formal Verification
Xu Xu, Xin Li, Xingwei Qu +2
We introduce DafnyCOMP, a benchmark for evaluating large language models (LLMs) on compositional specification generation in Dafny. Unlike prior benchmarks that focus on single-fun…
LLM Agent Communication Protocol (LACP) Requires Urgent Standardization: A Telecom-Inspired Protocol is Necessary
Xin Li, Mengbing Liu, Chau Yuen
This position paper argues that the field of LLM agents requires a unified, telecom-inspired communication protocol to ensure safety, interoperability, and scalability, especially…
CodeBoost: Boosting Code LLMs by Squeezing Knowledge from Code Snippets with RL
Sijie Wang, Quanjiang Guo, Kai Zhao +7
Code large language models (LLMs) have become indispensable tools for building efficient and automated coding pipelines. Existing models are typically post-trained using reinforcem…
Re:Form -- Reducing Human Annotations in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny
Chuanhao Yan, Fengdi Che, Xuhan Huang +12
Existing informal language-based (e.g., human language) Large Language Models (LLMs) trained with Reinforcement Learning (RL) face a significant challenge: their verification proce…
WirelessMathBench: A Mathematical Modeling Benchmark for LLMs in Wireless Communications
Xin Li, Mengbing Liu, Li Wei +3
Large Language Models (LLMs) have achieved impressive results across a broad array of tasks, yet their capacity for complex, domain-specific mathematical reasoning-particularly in…
Onboard Terrain Classification via Stacked Intelligent Metasurface-Diffractive Deep Neural Networks from SAR Level-0 Raw Data
Mengbing Liu, Xin Li, Jiancheng An +1
This paper introduces a novel approach for real-time onboard terrain classification from Sentinel-1 (S1) level-0 raw In-phase/Quadrature (IQ) data, leveraging a Stacked Intelligent…
TransPathNet: A Novel Two-Stage Framework for Indoor Radio Map Prediction
Xin Li, Ran Liu, Saihua Xu +2
Accurate indoor pathloss prediction is crucial for optimizing wireless communication in indoor settings, where diverse materials and complex electromagnetic interactions pose signi…
Robust Gaussian Splatting SLAM by Leveraging Loop Closure
Zunjie Zhu, Youxu Fang, Xin Li +4
3D Gaussian Splatting algorithms excel in novel view rendering applications and have been adapted to extend the capabilities of traditional SLAM systems. However, current Gaussian…
Deep Learning-Based Channel Estimation for Double-RIS Aided Massive MIMO System
Mengbing Liu, Xin Li, Boyu Ning +3
Reconfigurable Intelligent Surface (RIS) is considered as an energy-efficient solution for future wireless communication networks due to its fast and low-cost configuration. In thi…
PVI-DSO: Leveraging Planar Regularities for Direct Sparse Visual-Inertial Odometry
Bo Xu, Xin Li, Jingrong Wang +2
The monocular visual-inertial odometry (VIO) based on the direct method can leverage all available pixels in the image to simultaneously estimate the camera motion and reconstruct…
Co-Planar Parametrization for Stereo-SLAM and Visual-Inertial Odometry
Xin Li, Yanyan Li, Evin Pınar Örnek +2
This work proposes a novel SLAM framework for stereo and visual inertial odometry estimation. It builds an efficient and robust parametrization of co-planar points and lines which…
Leveraging Planar Regularities for Point Line Visual-Inertial Odometry
Xin Li, Yijia He, Jinlong Lin +1
With monocular Visual-Inertial Odometry (VIO) system, 3D point cloud and camera motion can be estimated simultaneously. Because pure sparse 3D points provide a structureless repres…