Zhifang Sui
97 papers · 2000–2026 · 11 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.
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Artificial Intelligence
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Machine Learning
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Deep Learning
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large language model
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language model
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in-context learning
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pre-trained language model
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few-shot learning
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text generation
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representation learning
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natural language inference
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benchmark evaluation
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neural network
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reinforcement learning
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word sense disambiguation
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table-to-text generation
(3)
amr parsing
(3)
abstract meaning representation
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mixture of expert
(3)
natural language processing
(3)
multimodal learning
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catastrophic forgetting
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factual knowledge
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Papers
From Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time Scaling
AAAI 2026
GroundingME: Exposing the Visual Grounding Gap in MLLMs through Multi-Dimensional Evaluation
CVPR 2026
HistLens: Mapping Idea Change across Concepts and Corpora
ACL 2026
Large Language Models Struggle with Unreasonability in Math Problems
AAAI 2026
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection
AAAI 2026
Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts
ACL 2026
AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization
CVPR 2025
A Probabilistic Inference Scaling Theory for LLM Self-Correction
EMNLP 2025
Beyond Single Frames: Can LMMs Comprehend Implicit Narratives in Comic Strip?
EMNLP 2025
Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs
ACL 2025
Exploring Activation Patterns of Parameters in Language Models
AAAI 2025
How Far are LLMs from Being Our Digital Twins? A Benchmark for Persona-Based Behavior Chain Simulation
ACL 2025
Language Models Encode the Value of Numbers Linearly
COLING 2025
Self-Boosting Large Language Models with Synthetic Preference Data
ICLR 2025
SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine
NAACL 2025
Towards Harmonized Uncertainty Estimation for Large Language Models
ACL 2025
Achilles-Bench: A Challenging Benchmark for Low-Resource Evaluation
ACL 2024
A Survey on In-context Learning
EMNLP 2024
Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming
EMNLP 2024
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?
EMNLP 2024
Can Large Multimodal Models Uncover Deep Semantics Behind Images?
ACL 2024
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
ACL 2024
FaGANet: An Evidence-Based Fact-Checking Model with Integrated Encoder Leveraging Contextual Information
COLING 2024
Large Language Models are not Fair Evaluators
ACL 2024
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations
ACL 2024
ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors
EMNLP 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
Enhancing Continual Relation Extraction via Classifier Decomposition
ACL 2023
Guiding AMR Parsing with Reverse Graph Linearization
EMNLP 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
Learn to Not Link: Exploring NIL Prediction in Entity Linking
ACL 2023
Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning
EMNLP 2023
Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation
EMNLP 2023
Statistical Knowledge Assessment for Large Language Models
NeurIPS 2023
Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers
ACL 2023
An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling
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
Calibrating Factual Knowledge in Pretrained Language Models
EMNLP 2022
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
ACL 2022
DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection
EMNLP 2022
Hierarchical Curriculum Learning for AMR Parsing
ACL 2022
HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification
EMNLP 2022
Knowledge Neurons in Pretrained Transformers
ACL 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
StableMoE: Stable Routing Strategy for Mixture of Experts
ACL 2022
Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation
NAACL 2021
Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions
ACL 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
A Spectral Method for Unsupervised Multi-Document Summarization
EMNLP 2020
Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference
EMNLP 2020
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer
IJCAI 2019
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
Pun-GAN: Generative Adversarial Network for Pun Generation
EMNLP 2019
Towards Comprehensive Description Generation from Factual Attribute-value Tables
ACL 2019
Towards Fine-grained Text Sentiment Transfer
ACL 2019
WSD-GAN: Word Sense Disambiguation Using Generative Adversarial Networks
AAAI 2019
Fine-grained Coordinated Cross-lingual Text Stream Alignment for Endless Language Knowledge Acquisition
EMNLP 2018
Incorporating Glosses into Neural Word Sense Disambiguation
ACL 2018
Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention
EMNLP 2018
Affinity-Preserving Random Walk for Multi-Document Summarization
EMNLP 2017
A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data
ACL 2017
A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction
EMNLP 2017
Capturing Argument Relationship for Chinese Semantic Role Labeling
EMNLP 2016
Encoding Temporal Information for Time-Aware Link Prediction
EMNLP 2016
Event Detection with Burst Information Networks
COLING 2016
Joint Learning Templates and Slots for Event Schema Induction
NAACL 2016
News Stream Summarization using Burst Information Networks
EMNLP 2016
RBPB: Regularization-Based Pattern Balancing Method for Event Extraction
ACL 2016
Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition
COLING 2016
Towards Time-Aware Knowledge Graph Completion
COLING 2016
An Ontology Matching Approach Based on Affinity-Preserving Random Walks
IJCAI 2015
Bring you to the past: Automatic Generation of Topically Relevant Event Chronicles
ACL 2015
Chinese Semantic Role Labeling with Bidirectional Recurrent Neural Networks
EMNLP 2015
ERSOM: A Structural Ontology Matching Approach Using Automatically Learned Entity Representation
EMNLP 2015
One Tense per Scene: Predicting Tense in Chinese Conversations
ACL 2015
Recognizing Textual Entailment Using Probabilistic Inference
EMNLP 2015
Event-Based Time Label Propagation for Automatic Dating of News Articles
EMNLP 2013
Towards Accurate Distant Supervision for Relational Facts Extraction
ACL 2013
Fine-Grained Classification of Named Entities by Fusing Multi-Features
COLING 2012
Chinese Semantic Role Labeling with Shallow Parsing
EMNLP 2009
Prediction of Thematic Rank for Structured Semantic Role Labeling
ACL 2009
Prediction of Maximal Projection for Semantic Role Labeling
COLING 2008
The Integration of Dependency Relation Classification and Semantic Role Labeling Using Bilayer Maximum Entropy Markov Models
CoNLL 2008
Domain Knowledge Engineering Based on Encyclopedias and the Web Text
IJCNLP 2005
An Information-Theory-Based Feature Type Analysis for the Modeling of Statistical Parsing
ACL 2000