Tianyu Liu

Orcid: 0000-0002-1147-8427

Affiliations:
  • Peking University, Key Laboratory of Computational Linguistics, Beijing, China


According to our database1, Tianyu Liu authored at least 74 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation.
CoRR, 2024

IW-Bench: Evaluating Large Multimodal Models for Converting Image-to-Web.
CoRR, 2024

Qwen2.5-Coder Technical Report.
CoRR, 2024

Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.
CoRR, 2024

Towards a Unified View of Preference Learning for Large Language Models: A Survey.
CoRR, 2024

Qwen2 Technical Report.
CoRR, 2024

MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation.
CoRR, 2024

LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback.
CoRR, 2024

Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?
CoRR, 2024

PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling.
CoRR, 2024

DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Large Language Models are not Fair Evaluators.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks.
CoRR, 2023

Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond.
CoRR, 2023

Making Large Language Models Better Reasoners with Alignment.
CoRR, 2023

Large Language Models are not Fair Evaluators.
CoRR, 2023

Bi-Drop: Generalizable Fine-tuning for Pre-trained Language Models via Adaptive Subnetwork Optimization.
CoRR, 2023

DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade.
CoRR, 2023

Enhancing Continual Relation Extraction via Classifier Decomposition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog.
CoRR, 2022

Less is More: Rethinking State-of-the-art Continual Relation Extraction Models with a Frustratingly Easy but Effective Approach.
CoRR, 2022

HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification.
CoRR, 2022

SmartSales: Sales Script Extraction and Analysis from Sales Chatlog.
CoRR, 2022

A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Learning Invariant Representation Improves Robustness for MRC Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Hierarchical Curriculum Learning for AMR Parsing.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Hierarchical Curriculum Learning for AMR Parsing.
CoRR, 2021

Explicit Interaction Network for Aspect Sentiment Triplet Extraction.
CoRR, 2021

Premise-based Multimodal Reasoning: A Human-like Cognitive Process.
CoRR, 2021

First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction.
CoRR, 2021

Coordination and Optimization of CCHP Microgrid Group Game Based on the Interaction of Electric and Thermal Energy Considering Conditional Value at Risk.
IEEE Access, 2021

Research on System Planning of Gas-Power Integrated System Based on Improved Two-Stage Robust Optimization and Non-Cooperative Game Method.
IEEE Access, 2021

Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions.
Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Leveraging Word-Formation Knowledge for Chinese Word Sense Disambiguation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference.
Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

An Anchor-Based Automatic Evaluation Metric for Document Summarization.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Table-to-Text Natural Language Generation with Unseen Schemas.
CoRR, 2019

Enhancing Topic-to-Essay Generation with External Commonsense Knowledge.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

MAAM: A Morphology-Aware Alignment Model for Unsupervised Bilingual Lexicon Induction.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Learning to Control the Fine-grained Sentiment for Story Ending Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Towards Improving Neural Named Entity Recognition with Gazetteers.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Towards Comprehensive Description Generation from Factual Attribute-value Tables.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for Tables.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Learning to Explain Ambiguous Headlines of Online News.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Phrase-level Self-Attention Networks for Universal Sentence Encoding.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Incorporating Glosses into Neural Word Sense Disambiguation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Order-Planning Neural Text Generation From Structured Data.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Table-to-Text Generation by Structure-Aware Seq2seq Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Large-Scale Simple Question Generation by Template-Based Seq2seq Learning.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

Affinity-Preserving Random Walk for Multi-Document Summarization.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Encoding Temporal Information for Time-Aware Link Prediction.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Towards Time-Aware Knowledge Graph Completion.
Proceedings of the COLING 2016, 2016


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