Ping Nie

Orcid: 0000-0002-4260-879X

According to our database1, Ping Nie authored at least 61 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
What Happens Before Decoding? Prefill Determines GUI Grounding in VLMs.
CoRR, May, 2026

WorldReasonBench: Human-Aligned Stress Testing of Video Generators as Future World-State Predictors.
CoRR, May, 2026

RewardHarness: Self-Evolving Agentic Post-Training.
CoRR, May, 2026

Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction.
CoRR, May, 2026

FlexSQL: Flexible Exploration and Execution Make Better Text-to-SQL Agents.
CoRR, May, 2026

MMEB-V3: Measuring the Performance Gaps of Omni-Modality Embedding Models.
CoRR, April, 2026

SciImpact: A Multi-Dimensional, Multi-Field Benchmark for Scientific Impact Prediction.
CoRR, April, 2026

ClawBench: Can AI Agents Complete Everyday Online Tasks?
CoRR, April, 2026

Watch Before You Answer: Learning from Visually Grounded Post-Training.
CoRR, April, 2026

ImagenWorld: Stress-Testing Image Generation Models with Explainable Human Evaluation on Open-ended Real-World Tasks.
CoRR, March, 2026

SWE-Next: Scalable Real-World Software Engineering Tasks for Agents.
CoRR, March, 2026

OpenResearcher: A Fully Open Pipeline for Long-Horizon Deep Research Trajectory Synthesis.
CoRR, March, 2026

SWE-QA-Pro: A Representative Benchmark and Scalable Training Recipe for Repository-Level Code Understanding.
CoRR, March, 2026

EvolveCoder: Evolving Test Cases via Adversarial Verification for Code Reinforcement Learning.
CoRR, March, 2026

VisPhyWorld: Probing Physical Reasoning via Code-Driven Video Reconstruction.
CoRR, February, 2026

Beyond Closed-Pool Video Retrieval: A Benchmark and Agent Framework for Real-World Video Search and Moment Localization.
CoRR, February, 2026

Context Forcing: Consistent Autoregressive Video Generation with Long Context.
CoRR, February, 2026

GraphDancer: Training LLMs to Explore and Reason over Graphs via Curriculum Reinforcement Learning.
CoRR, February, 2026

Beyond Single-shot Writing: Deep Research Agents are Unreliable at Multi-turn Report Revision.
CoRR, January, 2026

BrowserAgent: Building Web Agents with Human-Inspired Web Browsing Actions.
Trans. Mach. Learn. Res., 2026

StructEval: Benchmarking LLMs' Capabilities to Generate Structural Outputs.
Trans. Mach. Learn. Res., 2026

BrowseComp-Plus: A Fair and Disentangled Evaluation Benchmark for Deep Search Agents.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Beyond Single-shot Writing: Deep Research Agents are Unreliable at Multi-turn Report Revision.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
VisCoder2: Building Multi-Language Visualization Coding Agents.
CoRR, October, 2025

A Rigorous Benchmark with Multidimensional Evaluation for Deep Research Agents: From Answers to Reports.
CoRR, October, 2025

EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing.
CoRR, September, 2025

VideoScore2: Think before You Score in Generative Video Evaluation.
CoRR, September, 2025

VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use.
CoRR, September, 2025

BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent.
CoRR, August, 2025

Nearest Neighbor Multivariate Time Series Forecasting.
IEEE Trans. Neural Networks Learn. Syst., July, 2025

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem.
CoRR, June, 2025

StructEval: Benchmarking LLMs' Capabilities to Generate Structural Outputs.
CoRR, May, 2025

Likert or Not: LLM Absolute Relevance Judgments on Fine-Grained Ordinal Scales.
CoRR, May, 2025

VideoEval-Pro: Robust and Realistic Long Video Understanding Evaluation.
CoRR, May, 2025

Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining.
CoRR, May, 2025

ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations.
CoRR, April, 2025

An Analysis of Decoding Methods for LLM-based Agents for Faithful Multi-Hop Question Answering.
CoRR, March, 2025

MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

TextSplat: Text-Guided Semantic Fusion for Generalizable Gaussian Splatting.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Unleashing the Reasoning Potential of LLMs by Critique Fine-Tuning on One Problem.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

VisCoder: Fine-Tuning LLMs for Executable Python Visualization Code Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Dissecting the Dental-Lung Cancer Axis Via Mendelian Randomization and Mediation Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

ACECODER: Acing Coder RL via Automated Test-Case Synthesis.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Transferring Causal Mechanism over Meta-representations for Target-Unknown Cross-domain Recommendation.
ACM Trans. Inf. Syst., July, 2024

Dynamic multi-granularity spatial-temporal graph attention network for traffic forecasting.
Inf. Sci., 2024

MoE-CAP: Cost-Accuracy-Performance Benchmarking for Mixture-of-Experts Systems.
CoRR, 2024

The Hallucinations Leaderboard - An Open Effort to Measure Hallucinations in Large Language Models.
CoRR, 2024

Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
XDailyDialog: A Multilingual Parallel Dialogue Corpus.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Anticipating the Unseen Discrepancy for Vision and Language Navigation.
CoRR, 2022

Beyond prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

MIC: Model-agnostic Integrated Cross-channel Recommender.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
MIC: Model-agnostic Integrated Cross-channel Recommenders.
CoRR, 2021

Answering Any-hop Open-domain Questions with Iterative Document Reranking.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020
DDRQA: Dynamic Document Reranking for Open-domain Multi-hop Question Answering.
CoRR, 2020

DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

A Pairwise Probe for Understanding BERT Fine-Tuning on Machine Reading Comprehension.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019
RTK with the Assistance of an IMU-Based Pedestrian Navigation Algorithm for Smartphones.
Sensors, 2019

Glyce: Glyph-vectors for Chinese Character Representations.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2016
A new reconfigurable methodology to implement the 8-bit linear quantization for real-time SAR.
Proceedings of the 16th International Symposium on Communications and Information Technologies, 2016


  Loading...