Tianyu Liu

90 papers · 2016–2025 · 14 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (7) 🏃 Academic Marathon (9) 🌍 Conference Polyglot (14) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (16) 🌟 Keyword Trendsetter Combo (3) 🏠 Conference Loyalist (25) 🏆 Grand Slam 🔬 Deep Specialist (12) 🧬 Topic Evolution 🤝 Dynamic Duo (37) 👥 Mega-Team (22) 🗃️ Keyword Collector (372) 💎 Century Club (90) 📈 Trend Setter 🚀 Conference Pioneer ⚡ Prolific Year (12) 🔥 Unstoppable (10) ❓ The Questioner

Conferences

ACL (25) EMNLP (24) NAACL (10) NIPS (6) ICLR (5) COLING (4) ICML (3) IJCAI (3) AAAI (2) CVPR (2) ECCV (2) IJCNLP (2) CONLL (1) ICCV (1)

Top co-authors

Zhifang Sui (37) Baobao Chang (33) Peiyi Wang (13) Ryan Cotterell (11) Yunbo Cao (11) Binghuai Lin (9) Lei Li (9) Fuli Luo (9) Damai Dai (9) Liang Chen (8)

Research topics

Applications (1) Privacy (1)

Keywords

large language model (9) language model (7) pretrained language model (6) natural language inference (5) representation learning (5) multimodal learning (5) neural network (5) coreference resolution (4) question answering (4) graph neural network (4) named entity recognition (4) data augmentation (4) text generation (4) table-to-text generation (4) reinforcement learning (3) semantic role labeling (3) contrastive learning (3) knowledge graph embedding (3) text classification (3) sequence labeling (3)

Papers

A Two-Stage LLM System for Enhanced Regulatory Information Retrieval and Answer Generation COLING 2025

IW-Bench: Evaluating Large Multimodal Models for Converting Image-to-Web ACL 2025

Qwen2.5-xCoder: Multi-Agent Collaboration for Multilingual Code Instruction Tuning ACL 2025

Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo ICLR 2025

LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback ACL 2025

Well Begun is Half Done: Low-resource Preference Alignment by Weak-to-Strong Decoding ACL 2025

Exploiting Edited Large Language Models as General Scientific Optimizers NAACL 2025

MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation NAACL 2025

Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation NAACL 2025

VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models CVPR 2025

Language Models over Canonical Byte-Pair Encodings ICML 2025

Slimming the Fat-Tail: Morphing-Flow for Adaptive Time Series Modeling ICML 2025

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching ICML 2025

A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation ICLR 2025

PEARL: Parallel Speculative Decoding with Adaptive Draft Length ICLR 2025

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models ICLR 2025

TorchTitan: One-stop PyTorch native solution for production ready LLM pretraining ICLR 2025

Towards A Better Initial Policy Model For Scalable Long-CoT Reinforcement Learning ACL 2025

CodeV: Issue Resolving with Visual Data ACL 2025

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

DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade NAACL 2024

A benchmark for prediction of transcriptomic responses to chemical perturbations across cell types NIPS 2024

Large Language Models are not Fair Evaluators ACL 2024

PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain ACL 2024

Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding ACL 2024

A Fast and High-quality Text-to-Speech Method with Compressed Auxiliary Corpus and Limited Target Speaker Corpus COLING 2024

Efficiently Computing Susceptibility to Context in Language Models EMNLP 2024

Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data NIPS 2024

Rectify the Regression Bias in Long-Tailed Object Detection ECCV 2024

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

Geneverse: A Collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research EMNLP 2024

Taking a Deep Breath: Enhancing Language Modeling of Large Language Models with Sentinel Tokens EMNLP 2024

A Probability–Quality Trade-off in Aligned Language Models and its Relation to Sampling Adaptors EMNLP 2024

Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and Optimization EMNLP 2023

Hexatagging: Projective Dependency Parsing as Tagging ACL 2023

Enhancing Continual Relation Extraction via Classifier Decomposition ACL 2023

INT2: Interactive Trajectory Prediction at Intersections ICCV 2023

InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective EMNLP 2023

DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog EMNLP 2023

Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels ACL 2023

Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion ACL 2023

MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data NIPS 2023

Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction NIPS 2023

Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective EMNLP 2023

ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories EMNLP 2023

Data-Efficient Augmentation for Training Neural Networks NIPS 2022

Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attack NIPS 2022

Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues ACL 2022

A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation ACL 2022

Hierarchical Curriculum Learning for AMR Parsing ACL 2022

Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing CVPR 2022

HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification EMNLP 2022

Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation EMNLP 2022

Autoregressive Structured Prediction with Language Models EMNLP 2022

DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection EMNLP 2022

Learning Invariant Representation Improves Robustness for MRC Models EMNLP 2022

Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances IJCAI 2022

BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation NAACL 2022

A Structured Span Selector NAACL 2022

An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling NAACL 2022

A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction NAACL 2022

ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs NAACL 2022

Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker ACL 2021

Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions ACL 2021

Leveraging Word-Formation Knowledge for Chinese Word Sense Disambiguation EMNLP 2021

Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View AAAI 2021

Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker IJCNLP 2021

Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions IJCNLP 2021

Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation NAACL 2021

An Anchor-Based Automatic Evaluation Metric for Document Summarization COLING 2020

An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks EMNLP 2020

Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference EMNLP 2020

An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference CONLL 2020

An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference EMNLP 2020

Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for Tables AAAI 2019

Learning to Control the Fine-grained Sentiment for Story Ending Generation ACL 2019

Towards Comprehensive Description Generation from Factual Attribute-value Tables ACL 2019

Towards Improving Neural Named Entity Recognition with Gazetteers ACL 2019

MAAM: A Morphology-Aware Alignment Model for Unsupervised Bilingual Lexicon Induction ACL 2019

Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation ACL 2019

Playing Card-Based RTS Games with Deep Reinforcement Learning IJCAI 2019

Enhancing Topic-to-Essay Generation with External Commonsense Knowledge ACL 2019

Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention EMNLP 2018

Learning to Explain Ambiguous Headlines of Online News IJCAI 2018

Incorporating Glosses into Neural Word Sense Disambiguation ACL 2018

Phrase-level Self-Attention Networks for Universal Sentence Encoding EMNLP 2018

Affinity-Preserving Random Walk for Multi-Document Summarization EMNLP 2017

A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction EMNLP 2017

Encoding Temporal Information for Time-Aware Link Prediction EMNLP 2016

Towards Time-Aware Knowledge Graph Completion COLING 2016