Dongmei Zhang

VP & Distinguished Scientist

출판물

Dongmei Zhang

출판물

Change2Task: From Repository Changes to Executable Coding Agent Tasks and Environments

Auto-Fill: Learning to Predict Missing Values Accurately with Specialist Language Models

Beyond Fail-to-Pass: Iterative Hardening of Co-Generated Bug Reproduction Tests and Fixes

From Task to Tutorial: An Automated GUI Framework for Excel Tutorial Document and Video Creation

StepFly: Agentic Troubleshooting Guide Automation for Incident Diagnosis

CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents

EgoMemory: Memory-Augmented Personalized Retrieval for Long-Context Egocentric Video

Auto-Relate: A Unified Approach to Discovering Reliable Functional Relationships Leveraging Statistical Tests

UFO2: The Desktop AgentOS

Text2Grad: Reinforcement Learning from Natural Language Feedback

Contrastive Attribution in the Wild: An Interpretability Analysis of LLM Failures on Realistic Benchmarks

ABDP: Adversarial Backdoor Detection and Purification

Beyond State Consistency: Behavior Consistency in Text-Based World Models

DUET: Joint Exploration of User Item Profiles in Recommendation System

WebXSkill: Skill Learning for Autonomous Web Agents

LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals

Computer-Using World Model

Sirens’Whisper: Inaudible Near-Ultrasonic Jailbreaks of Speech-Driven LLMs

RepoLaunch: Automating Build&Test Pipeline of Code Repositories on ANY Language and ANY Platform

Test-Time Learning of Causal Structure from Interventional Data

A Tale of Two Graphs: Separating Knowledge Exploration from Outline Structure for Open-Ended Deep Research

GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents

MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark

TwT: Thinking without Tokens by Habitual Reasoning Distillation with Multi-Teachers’ Guidance

MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf

Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents

Table-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning

Consensus-Robust Transfer Attacks via Parameter and Representation Perturbations

Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search

SheetDesigner: MLLM-Powered Spreadsheet Layout Generation with Rule-Based and Vision-Based Reflection

Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs

Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection

TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models

TablePilot: Recommending Human-Preferred Tabular Data Analysis with Large Language Models

API Agents vs. GUI Agents: Divergence and Convergence

Large Action Models: From Inception to Implementation

Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables

Large Language Model-Brained GUI Agents: A Survey

Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval

SWE-bench Goes Live!

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning

ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud

Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning

AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models

RuAG: Learned-rule-augmented Generation for Large Language Models

UFO: A UI-Focused Agent for Windows OS Interaction

Pretrain Value, Not Reward: Decoupled Value Policy Optimization

ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation

Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation

DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale

Enabling Autonomic Microservice Management through Self-Learning Agents

SpreadsheetLLM: Encoding Spreadsheets for Large Language Models

AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation

CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing

Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure

PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning

Sharingan: Extract user action sequence from desktop recordings

TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning

Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning

COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty

Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction

FXAM: A unified and fast interpretable model for predictive analytics

Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks

AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure

Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments

Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation

Large Language Models Can Provide Accurate and Interpretable Incident Triage

MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models

MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models

The Vision of Autonomic Computing: Can LLMs Make It a Reality?

Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations

Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks

KET-QA: A Dataset for Knowledge Enhanced Table Question Answering

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study

Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries