26 citations · 50 across the 19 of their papers we have counts for
20 papers
CTE-Bench: Counterfactual Trace Evaluation for Stateful Software Simulators
Xinran Zhang
Coding agents change running software: they patch a service's code or overwrite its stored state, and then act on their own expectation of how the service will respond afterwards.…
Towards Spatial Supersensing in the Wild
Tianjun Gu, Tianyu Xin, Kuan Zhang +12
Humans can efficiently parse continuous sensory streams, from hours to years, scaffolding an internal world model that grounds spatial reasoning and prediction. To mimic this capac…
Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse
Kuan Zhang, Dongchen Liu, Qiyue Zhao +12
The real world unfolds along a single set of physics laws, yet human intelligence demonstrates a remarkable capacity to generalize experiences from this singular physical existence…
Distributed Generative Inference of LLM at Internet Scales with Multi-Dimensional Communication Optimization
Jiu Chen, Shuangyan Yang, Xu Xiong +4
Decentralized LLM inference distributes computation among heterogeneous nodes across the internet, offering a performant and cost-efficient solution, alternative to traditional cen…
How Sensitive Are Safety Benchmarks to Judge Configuration Choices?
Xinran Zhang
Safety benchmarks such as HarmBench rely on LLM judges to classify model responses as harmful or safe, yet the judge configuration, namely the combination of judge model and judge…
MIRAGE: Online LLM Simulation for Microservice Dependency Testing
XinRan Zhang
Existing approaches to microservice dependency simulation--record-replay, pattern-mining, and specification-driven stubs--generate static artifacts before test execution. These art…
Atomic and Holistic LLM Judges for Reference-Grounded Support Labels: A Prompt-Controlled Comparison
Xinran Zhang
When an LLM judge only has to assign a three-way support label to a candidate answer given a reference, does asking it to decompose the answer into atomic claims help, and at what…
Beyond Creed: A Non-Identity Safety Condition A Strong Empirical Alternative to Identity Framing in Low-Data LoRA Fine-Tuning
Xinran Zhang
How safety supervision is written may matter more than the explicit identity content it contains. We study low-data LoRA safety fine-tuning with four supervision formats built from…
GameVerse: Can Vision-Language Models Learn from Video-based Reflection?
Kuan Zhang, Dongchen Liu, Qiyue Zhao +5
Human gameplay is a visually grounded interaction loop in which players act, reflect on failures, and watch tutorials to refine strategies. Can Vision-Language Models (VLMs) also l…
MMSF: Multitask and Multimodal Supervised Framework for WSI Classification and Survival Analysis
Chengying She, Chengwei Chen, Xinran Zhang +4
Multimodal evidence is critical in computational pathology: gigapixel whole slide images capture tumor morphology, while patient-level clinical descriptors preserve complementary c…
OpenNovelty: An LLM-powered Agentic System for Verifiable Scholarly Novelty Assessment
Ming Zhang, Kexin Tan, Yueyuan Huang +20
Evaluating novelty is critical yet challenging in peer review, as reviewers must assess submissions against a vast, rapidly evolving literature. This report presents OpenNovelty, a…
EfficientMIL: Efficient Linear-Complexity MIL Method for WSI Classification
Chengying She, Chengwei Chen, Dongjie Fan +5
Whole slide images (WSIs) classification represents a fundamental challenge in computational pathology, where multiple instance learning (MIL) has emerged as the dominant paradigm.…
VISTAR:A User-Centric and Role-Driven Benchmark for Text-to-Image Evaluation
Kaiyuan Jiang, Ruoxi Sun, Ying Cao +4
We present VISTAR, a user-centric, multi-dimensional benchmark for text-to-image (T2I) evaluation that addresses the limitations of existing metrics. VISTAR introduces a two-tier h…
VSLLaVA: a pipeline of large multimodal foundation model for industrial vibration signal analysis
Qi Li, Xinran Zhang, Jinfeng Huang +4
While Large Multimodal Models (LMMs) excel in general multimodal tasks, they lack the domain-specific knowledge for industrial vibration signal analysis. This paper introduces VSLL…
The Sound Demixing Challenge 2023 $\unicode{x2013}$ Music Demixing Track
Giorgio Fabbro, Stefan Uhlich, Chieh-Hsin Lai +24
This paper summarizes the music demixing (MDX) track of the Sound Demixing Challenge (SDX'23). We provide a summary of the challenge setup and introduce the task of robust music so…
Symphony Generation with Permutation Invariant Language Model
Jiafeng Liu, Yuanliang Dong, Zehua Cheng +4
In this work, we propose a permutation invariant language model, SymphonyNet, as a solution for symbolic symphony music generation. We propose a novel Multi-track Multi-instrument…
Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives
Ziyi Liu, Jiaqi Zhang, Yongshuai Hou +3
Background: Electronic Health Records (EHRs) contain rich information of patients' health history, which usually include both structured and unstructured data. There have been many…
Lingxi: A Diversity-aware Chinese Modern Poetry Generation System
Xinran Zhang, Maosong Sun, Jiafeng Liu +1
Poetry generation has been a difficult task in natural language processing. Unlike plain neural text generation tasks, poetry has a high requirement for novelty, since an easily-un…
Optimal Embedding Calibration for Symbolic Music Similarity
Xinran Zhang, Maosong Sun, Jiafeng Liu +1
In natural language processing (NLP), the semantic similarity task requires large-scale, high-quality human-annotated labels for fine-tuning or evaluation. By contrast, in cases of…
Improving Diversity of Neural Text Generation via Inverse Probability Weighting
Xinran Zhang, Maosong Sun, Jiafeng Liu +1
The neural text generation suffers from the text degeneration issue such as repetition. Traditional stochastic sampling methods only focus on truncating the unreliable "tail" of th…