2025
VPO: Aligning Text-to-Video Generation Models with Prompt Optimization.
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CoRR, March, 2025
Concat-ID: Towards Universal Identity-Preserving Video Synthesis.
CoRR, March, 2025
StepMathAgent: A Step-Wise Agent for Evaluating Mathematical Processes through Tree-of-Error.
CoRR, March, 2025
HPSS: Heuristic Prompting Strategy Search for LLM Evaluators.
CoRR, February, 2025
CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.
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Proceedings of the Thirteenth International Conference on Learning Representations, 2025
SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
LongSafety: Evaluating Long-Context Safety of Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
MHALO: Evaluating MLLMs as Fine-grained Hallucination Detectors.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation.
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CoRR, 2024
CogVLM2: Visual Language Models for Image and Video Understanding.
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CoRR, 2024
LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models.
CoRR, 2024
VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents.
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CoRR, 2024
CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.
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CoRR, 2024
Benchmarking Complex Instruction-Following with Multiple Constraints Composition.
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CoRR, 2024
ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.
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CoRR, 2024
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Prompts.
CoRR, 2024
Benchmarking Complex Instruction-Following with Multiple Constraints Composition.
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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion.
Proceedings of the Computer Vision - ECCV 2024, 2024
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
AlignBench: Benchmarking Chinese Alignment of Large Language Models.
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Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
OAG: Linking Entities Across Large-Scale Heterogeneous Knowledge Graphs.
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IEEE Trans. Knowl. Data Eng., September, 2023
Accurate medium-range global weather forecasting with 3D neural networks.
Nat., 2023
Towards AGI in Computer Vision: Lessons Learned from GPT and Large Language Models.
CoRR, 2023
Pipeline MoE: A Flexible MoE Implementation with Pipeline Parallelism.
CoRR, 2023
2022
Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast.
CoRR, 2022
Phrase-aware Unsupervised Constituency Parsing.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
On the Transformer Growth for Progressive BERT Training.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
2020
Generating Representative Headlines for News Stories.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Alleviate Dataset Shift Problem in Fine-grained Entity Typing with Virtual Adversarial Training.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
2019
Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
OAG: Toward Linking Large-scale Heterogeneous Entity Graphs.
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Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Learning Dynamic Context Augmentation for Global Entity Linking.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
2018
Profiling Web users using big data.
Soc. Netw. Anal. Min., 2018
Learning Named Entity Tagger using Domain-Specific Dictionary.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
End-to-End Reinforcement Learning for Automatic Taxonomy Induction.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
2016
Large-scale Validation of Counterfactual Learning Methods: A Test-Bed.
CoRR, 2016
Web user profiling using data redundancy.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016