Fuzheng Zhang
33 papers · 2018–2026 · 6 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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(2)
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(12)
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(7)
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The Questioner
(2)
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Top co-authors
Research topics
Machine Learning
(25)
Artificial Intelligence
(20)
Core AI
(19)
Natural Language Processing
(18)
Deep Learning
(15)
Learning Types Β· Machine Learning
(15)
Learning Types Β· Deep Learning
(9)
Resources & Methods
(9)
Application Areas
(8)
Applications
(7)
Generation
(6)
Computer Vision
(5)
Architectures
(5)
Core Methods
(5)
Optimization & Theory
(5)
Keywords
large language model
(8)
video captioning
(4)
instruction tuning
(3)
attention mechanism
(3)
video understanding
(3)
document retrieval
(3)
temporal understanding
(2)
pre-trained language model
(2)
dialogue system
(2)
preference learning
(2)
reinforcement learning
(2)
benchmark evaluation
(2)
action recognition
(2)
multimodal large language model
(2)
instruction following
(2)
preference optimization
(2)
question answering
(2)
language model
(2)
mathematical reasoning
(2)
text-to-video generation
(2)
Papers
CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning
ACL 2026
TEMPLE: Incentivizing Temporal Understanding of Video Large Language Models via Progressive Pre-SFT Alignment
AAAI 2026
Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models
COLING 2025
Chain-of-Specificity: Enhancing Task-Specific Constraint Adherence in Large Language Models
COLING 2025
DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering
ACL 2025
Evaluating Multimodal Large Language Models on Video Captioning via Monte Carlo Tree Search
ACL 2025
HAIC: Improving Human Action Understanding and Generation with Better Captions for Multi-modal Large Language Models
ACL 2025
Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models
ACL 2025
SPPD: Self-training with Process Preference Learning Using Dynamic Value Margin
EMNLP 2025
Towards Reward Fairness in RLHF: From a Resource Allocation Perspective
ACL 2025
TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos
ACL 2025
VidCapBench: A Comprehensive Benchmark of Video Captioning for Controllable Text-to-Video Generation
ACL 2025
What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning
EMNLP 2025
Decoding at the Speed of Thought: Harnessing Parallel Decoding of Lexical Units for LLMs
COLING 2024
DialogBench: Evaluating LLMs as Human-like Dialogue Systems
NAACL 2024
Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint
ACL 2024
Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues
EMNLP 2024
Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios
ACL 2024
Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models
ACL 2024
Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector
EMNLP 2024
A Bidirectional Multi-paragraph Reading Model for Zero-shot Entity Linking
AAAI 2021
ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction
NAACL 2021
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
ACL 2021
Enhancing Document Ranking with Task-adaptive Training and Segmented Token Recovery Mechanism
EMNLP 2021
Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval
ACL 2021
Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language Models
EMNLP 2021
TITA: A Two-stage Interaction and Topic-Aware Text Matching Model
NAACL 2021
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models
EMNLP 2021
Learn with Noisy Data via Unsupervised Loss Correction for Weakly Supervised Reading Comprehension
COLING 2020
Table Fact Verification with Structure-Aware Transformer
EMNLP 2020
Earlier Attention? Aspect-Aware LSTM for Aspect-Based Sentiment Analysis
IJCAI 2019
Sequential Recommender System based on Hierarchical Attention Networks
IJCAI 2018
Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach
IJCAI 2018