Xiao Liu

Orcid: 0000-0002-9226-4569

Affiliations:

Tsinghua University, Department of Computer Science and Technology, Beijing, China

According to our database¹, Xiao Liu authored at least 59 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation.

[BibT_eX]

[DOI]

CoRR, 2024

SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Does RLHF Scale? Exploring the Impacts From Data, Model, and Method.

[BibT_eX]

[DOI]

CoRR, 2024

WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

AutoGLM: Autonomous Foundation Agents for GUIs.

[BibT_eX]

[DOI]

CoRR, 2024

AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents.

[BibT_eX]

[DOI]

CoRR, 2024

LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents.

[BibT_eX]

[DOI]

CoRR, 2024

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

[BibT_eX]

[DOI]

CoRR, 2024

NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Prompts.

[BibT_eX]

[DOI]

CoRR, 2024

AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent.

[BibT_eX]

[DOI]

CoRR, 2024

ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback.

[BibT_eX]

[DOI]

CoRR, 2024

Extensive Self-Contrast Enables Feedback-Free Language Model Alignment.

[BibT_eX]

[DOI]

CoRR, 2024

GPT understands, too.

[BibT_eX]

[DOI]

AI Open, 2024

AutoWebGLM: A Large Language Model-based Web Navigating Agent.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

AgentBench: Evaluating LLMs as Agents.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline.

[BibT_eX]

[DOI]

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

AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models.

[BibT_eX]

[DOI]

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

Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries.

[BibT_eX]

[DOI]

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

SafetyBench: Evaluating the Safety of Large Language Models.

[BibT_eX]

[DOI]

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

AgentTuning: Enabling Generalized Agent Abilities for LLMs.

[BibT_eX]

[DOI]

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

Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration.

[BibT_eX]

[DOI]

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

AlignBench: Benchmarking Chinese Alignment of Large Language Models.

[BibT_eX]

[DOI]

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

CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation.

[BibT_eX]

[DOI]

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

Black-Box Prompt Optimization: Aligning Large Language Models without Model Training.

[BibT_eX]

[DOI]

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

LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., September, 2023

Self-Supervised Learning: Generative or Contrastive.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

OAG$_{\mathrm {know}}$ know : Self-Supervised Learning for Linking Knowledge Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

AlignBench: Benchmarking Chinese Alignment of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

CritiqueLLM: Scaling LLM-as-Critic for Effective and Explainable Evaluation of Large Language Model Generation.

[BibT_eX]

[DOI]

CoRR, 2023

SafetyBench: Evaluating the Safety of Large Language Models with Multiple Choice Questions.

[BibT_eX]

[DOI]

CoRR, 2023

GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

GLM-130B: An Open Bilingual Pre-trained Model.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Understanding WeChat User Preferences and "Wow" Diffusion.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

GLM-130B: An Open Bilingual Pre-trained Model.

[BibT_eX]

[DOI]

CoRR, 2022

Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers.

[BibT_eX]

[DOI]

CoRR, 2022

SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

GraphMAE: Self-Supervised Masked Graph Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models.

[BibT_eX]

[DOI]

Chenguang Wang

Xiao Liu

Dawn Song

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

DeepStruct: Pretraining of Language Models for Structure Prediction.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

GLM: General Language Model Pretraining with Autoregressive Blank Infilling.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.

[BibT_eX]

[DOI]

CoRR, 2021

Pre-Trained Models: Past, Present and Future.

[BibT_eX]

[DOI]

CoRR, 2021

All NLP Tasks Are Generation Tasks: A General Pretraining Framework.

[BibT_eX]

[DOI]

CoRR, 2021

OAG-BERT: Pre-train Heterogeneous Entity-augmented Academic Language Models.

[BibT_eX]

[DOI]

CoRR, 2021

WuDaoCorpora: A super large-scale Chinese corpora for pre-training language models.

[BibT_eX]

[DOI]

AI Open, 2021

Pre-trained models: Past, present and future.

[BibT_eX]

[DOI]

AI Open, 2021

The International Workshop on Pretraining: Algorithms, Architectures, and Applications ([email protected] 2021).

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Zero-Shot Information Extraction as a Unified Text-to-Triple Translation.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Language Models are Open Knowledge Graphs.

[BibT_eX]

[DOI]

Chenguang Wang

Xiao Liu

Dawn Song

CoRR, 2020

2019

OAG: Toward Linking Large-scale Heterogeneous Entity Graphs.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Xiao Liu

Timeline

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