Tianyu Liu
90 papers · 2016–2026 · 13 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (150) 🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Half 🐣 Hot Topic Early Bird
🏠
Conference Loyalist
(26)
🤝
Dynamic Duo
(35)
👥
Mega-Team · Squad
🧬
Topic Evolution
🧭
Keyword Pioneer
🔬
Deep Specialist
(12)
🏆
Grand Slam
🚀
Conference Pioneer
🔥
Unstoppable · Silver
❓
The Questioner
⚡
Prolific Year · Prolific
💎
Century Club · Silver
🌈
Renaissance Researcher
(12)
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Trend Setter
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Keyword Collector
(420)
Venues
Top co-authors
Research topics
Artificial Intelligence
(50)
Machine Learning
(48)
Natural Language Processing
(47)
Core AI
(44)
Deep Learning
(39)
Learning Types · Machine Learning
(26)
Applications
(25)
Learning Types · Deep Learning
(23)
Core Methods
(17)
Generation
(17)
Application Areas
(14)
Resources & Methods
(14)
Understanding
(13)
Models
(12)
Optimization & Theory
(12)
Keywords
large language model
(10)
language model
(7)
pre-trained language model
(6)
text generation
(5)
representation learning
(5)
multimodal learning
(5)
neural network
(5)
natural language inference
(4)
coreference resolution
(4)
named entity recognition
(4)
table-to-text generation
(4)
graph neural network
(4)
question answering
(4)
reinforcement learning
(3)
data augmentation
(3)
contrastive learning
(3)
semantic role labeling
(3)
dependency parsing
(3)
sequence labeling
(3)
catastrophic forgetting
(3)
Papers
DiffuView: Multi-View Diffusion Pretraining for 3D Aware Robotic Manipulation
CVPR 2026
Double: Breaking the Acceleration Limit via Double Retrieval Speculative Parallelism
ACL 2026
EmoThinker: Advancing Visual-Acoustic Emotion Analysis via Structural Token Selection and Chain-of-Thought Reasoning
CVPR 2026
A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation
ICLR 2025
A Two-Stage LLM System for Enhanced Regulatory Information Retrieval and Answer Generation
COLING 2025
CodeV: Issue Resolving with Visual Data
ACL 2025
Exploiting Edited Large Language Models as General Scientific Optimizers
NAACL 2025
IW-Bench: Evaluating Large Multimodal Models for Converting Image-to-Web
ACL 2025
Language Models over Canonical Byte-Pair Encodings
ICML 2025
LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback
ACL 2025
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation
NAACL 2025
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models
ICLR 2025
PEARL: Parallel Speculative Decoding with Adaptive Draft Length
ICLR 2025
Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation
NAACL 2025
Qwen2.5-xCoder: Multi-Agent Collaboration for Multilingual Code Instruction Tuning
ACL 2025
Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching
ICML 2025
Slimming the Fat-Tail: Morphing-Flow for Adaptive Time Series Modeling
ICML 2025
Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo
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
VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models
CVPR 2025
Well Begun is Half Done: Low-resource Preference Alignment by Weak-to-Strong Decoding
ACL 2025
A benchmark for prediction of transcriptomic responses to chemical perturbations across cell types
NeurIPS 2024
A Fast and High-quality Text-to-Speech Method with Compressed Auxiliary Corpus and Limited Target Speaker Corpus
COLING 2024
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models
ECCV 2024
A Probability–Quality Trade-off in Aligned Language Models and its Relation to Sampling Adaptors
EMNLP 2024
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
Efficiently Computing Susceptibility to Context in Language Models
EMNLP 2024
Geneverse: A Collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research
EMNLP 2024
Large Language Models are not Fair Evaluators
ACL 2024
PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain
ACL 2024
Rectify the Regression Bias in Long-Tailed Object Detection
ECCV 2024
Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data
NeurIPS 2024
Taking a Deep Breath: Enhancing Language Modeling of Large Language Models with Sentinel Tokens
EMNLP 2024
Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding
ACL 2024
Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and Optimization
EMNLP 2023
Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion
ACL 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
Enhancing Continual Relation Extraction via Classifier Decomposition
ACL 2023
Hexatagging: Projective Dependency Parsing as Tagging
ACL 2023
ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories
EMNLP 2023
InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective
EMNLP 2023
INT2: Interactive Trajectory Prediction at Intersections
ICCV 2023
Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction
NeurIPS 2023
Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective
EMNLP 2023
MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data
NeurIPS 2023
An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling
NAACL 2022
A Structured Span Selector
NAACL 2022
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation
ACL 2022
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs
NAACL 2022
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction
NAACL 2022
Autoregressive Structured Prediction with Language Models
EMNLP 2022
BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation
NAACL 2022
Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing
CVPR 2022
Data-Efficient Augmentation for Training Neural Networks
NeurIPS 2022
DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection
EMNLP 2022
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attack
NeurIPS 2022
Hierarchical Curriculum Learning for AMR Parsing
ACL 2022
HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification
EMNLP 2022
Learning Invariant Representation Improves Robustness for MRC Models
EMNLP 2022
Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation
EMNLP 2022
Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues
ACL 2022
Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances
IJCAI 2022
Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation
NAACL 2021
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
An Anchor-Based Automatic Evaluation Metric for Document Summarization
COLING 2020
An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference
CoNLL 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
Enhancing Topic-to-Essay Generation with External Commonsense Knowledge
ACL 2019
Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for Tables
AAAI 2019
Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation
ACL 2019
Learning to Control the Fine-grained Sentiment for Story Ending Generation
ACL 2019
MAAM: A Morphology-Aware Alignment Model for Unsupervised Bilingual Lexicon Induction
ACL 2019
Playing Card-Based RTS Games with Deep Reinforcement Learning
IJCAI 2019
Towards Comprehensive Description Generation from Factual Attribute-value Tables
ACL 2019
Towards Improving Neural Named Entity Recognition with Gazetteers
ACL 2019
Incorporating Glosses into Neural Word Sense Disambiguation
ACL 2018
Learning to Explain Ambiguous Headlines of Online News
IJCAI 2018
Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention
EMNLP 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