Yidong Wang

Orcid: 0009-0007-9969-8259

Affiliations:

Peking University, Beijing, China

According to our database¹, Yidong Wang authored at least 46 papers between 2021 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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Article

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Bibliography

2025

TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them.

[BibT_eX]

[DOI]

CoRR, September, 2025

Benchmarking and Studying the LLM-based Code Review.

[BibT_eX]

[DOI]

CoRR, September, 2025

SAEMark: Multi-bit LLM Watermarking with Inference-Time Scaling.

[BibT_eX]

[DOI]

CoRR, August, 2025

Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future.

[BibT_eX]

[DOI]

CoRR, August, 2025

RewardAnything: Generalizable Principle-Following Reward Models.

[BibT_eX]

[DOI]

CoRR, June, 2025

Visual Thoughts: A Unified Perspective of Understanding Multimodal Chain-of-Thought.

[BibT_eX]

[DOI]

CoRR, May, 2025

2024

A Survey on Evaluation of Large Language Models.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., June, 2024

Exploring Vision-Language Models for Imbalanced Learning.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., January, 2024

On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2024

Outcome-Refining Process Supervision for Code Generation.

[BibT_eX]

[DOI]

CoRR, 2024

On the Diversity of Synthetic Data and its Impact on Training Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

ISC4DGF: Enhancing Directed Grey-box Fuzzing with LLM-Driven Initial Seed Corpus Generation.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey on Evaluating Large Language Models in Code Generation Tasks.

[BibT_eX]

[DOI]

CoRR, 2024

RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application.

[BibT_eX]

[DOI]

CoRR, 2024

FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

AutoSurvey: Large Language Models Can Automatically Write Surveys.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

CoderUJB: An Executable and Unified Java Benchmark for Practical Programming Scenarios.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

A General Framework for Learning from Weak Supervision.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Supervised Knowledge Makes Large Language Models Better In-context Learners.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

PIXEL: Prompt-based Zero-shot Hashing via Visual and Textual Semantic Alignment.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Enhancing In-Context Learning via Implicit Demonstration Augmentation.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity.

[BibT_eX]

[DOI]

CoRR, 2023

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.

[BibT_eX]

[DOI]

CoRR, 2023

Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations.

[BibT_eX]

[DOI]

CoRR, 2023

Evaluating Open Question Answering Evaluation.

[BibT_eX]

[DOI]

CoRR, 2023

SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2023

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Exploiting Adapters for Cross-Lingual Low-Resource Speech Recognition.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution.

[BibT_eX]

[DOI]

CoRR, 2022

Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets.

[BibT_eX]

[DOI]

CoRR, 2022

USB: A Unified Semi-supervised Learning Benchmark.

[BibT_eX]

[DOI]

CoRR, 2022

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2022

USB: A Unified Semi-supervised Learning Benchmark for Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Margin Calibration for Long-Tailed Visual Recognition.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2022

2021

FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Meta-Adapter: Efficient Cross-Lingual Adaptation With Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Yidong Wang

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