Qifan Wang

105 papers · 2015–2026 · 16 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (10) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (16) 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (20) 🧭 Keyword Pioneer 🏠 Conference Loyalist (30) 🏆 Grand Slam 👑 Triple Crown 🤝 Dynamic Duo (25) 🌱 Topic Pioneer 🔬 Deep Specialist (21) 🧬 Topic Evolution ❓ The Questioner (5) 🗃️ Keyword Collector (386) 📈 Trend Setter 💎 Century Club (102) ⚡ Prolific Year (30) 🔥 Unstoppable (5)

Conferences

EMNLP (30) ACL (20) ICLR (9) NIPS (8) IJCAI (7) AAAI (5) NAACL (5) CVPR (4) COLING (3) ECCV (3) ICCV (3) AACL (2) EACL (2) IJCNLP (2) AISTATS (1) ICML (1)

Top co-authors

Dongfang Liu (25) Lifu Huang (20) Zenglin Xu (19) Jingang Wang (19) Fuli Feng (17) Xiaojun Quan (15) Cheng Han (13) Jiahao Liu (13) Sinong Wang (8) Li Yang (8)

Research topics

Keywords

large language model (24) contrastive learning (7) knowledge distillation (7) prompt tuning (7) pre-trained language model (6) vision-language model (6) question answering (6) language model (5) model compression (5) representation learning (5) reinforcement learning (5) federated learning (5) in-context learning (4) parameter-efficient fine-tuning (4) recommender system (4) transformer architecture (4) transfer learning (4) multimodal learning (4) few-shot learning (4) attention mechanism (4)

Papers

PASS: Probabilistic Agentic Supernet Sampling for Interpretable and Adaptive Chest X-Ray Reasoning AAAI 2026

Chain-of-Search: Parameter-Efficient Reasoning for Zero-Shot Object Navigation AAAI 2026

K-order Ranking Preference Optimization for Large Language Models ACL 2025

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? ACL 2025

On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond AISTATS 2025

Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models EMNLP 2025

MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper EMNLP 2025

Dynamic Fisher-weighted Model Merging via Bayesian Optimization NAACL 2025

Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories EMNLP 2025

TCPO: Thought-Centric Preference Optimization for Effective Embodied Decision-making EMNLP 2025

CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG AAAI 2025

Item-Language Model: Improving Large Language Model for Recommendation via Item-Language Representation Learning AACL 2025

Item-Language Model: Improving Large Language Model for Recommendation via Item-Language Representation Learning IJCNLP 2025

Re-Imagining Multimodal Instruction Tuning: A Representation View ICLR 2025

Visual Agents as Fast and Slow Thinkers ICLR 2025

IDInit: A Universal and Stable Initialization Method for Neural Network Training ICLR 2025

Advantage-Guided Distillation for Preference Alignment in Small Language Models ICLR 2025

Modality-Specialized Synergizers for Interleaved Vision-Language Generalists ICLR 2025

Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics ICCV 2025

CompCap: Improving Multimodal Large Language Models with Composite Captions ICCV 2025

ReAlign: Structured Revision for Small Language Model Alignment EMNLP 2025

Assistant-Guided Mitigation of Teacher Preference Bias in LLM-as-a-Judge EMNLP 2025

FinHEAR: Human Expertise and Adaptive Risk-Aware Temporal Reasoning for Financial Decision-Making EMNLP 2025

Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models AACL 2025

Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models IJCNLP 2025

Inference Compute-Optimal Video Vision Language Models ACL 2025

When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations ACL 2025

Error-driven Data-efficient Large Multimodal Model Tuning ACL 2025

FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods ICLR 2024

Visual Fourier Prompt Tuning NIPS 2024

Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms NIPS 2024

HYDRA: Model Factorization Framework for Black-Box LLM Personalization NIPS 2024

MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning AAAI 2024

Multimodal Instruction Tuning with Conditional Mixture of LoRA ACL 2024

Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models ACL 2024

Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism ACL 2024

Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning ACL 2024

Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding COLING 2024

Jack of All Tasks Master of Many: Designing General-Purpose Coarse-to-Fine Vision-Language Model CVPR 2024

ProMotion: Prototypes As Motion Learners CVPR 2024

Ameli: Enhancing Multimodal Entity Linking with Fine-Grained Attributes EACL 2024

Minimal Distillation Schedule for Extreme Language Model Compression EACL 2024

UAV First-Person Viewers Are Radiance Field Learners ECCV 2024

AMD: Automatic Multi-step Distillation of Large-scale Vision Models ECCV 2024

Direct Multi-Turn Preference Optimization for Language Agents EMNLP 2024

M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning EMNLP 2024

EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction EMNLP 2024

C-ICL: Contrastive In-context Learning for Information Extraction EMNLP 2024

Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection EMNLP 2024

InternalInspector I2: Robust Confidence Estimation in LLMs through Internal States EMNLP 2024

Representation Deficiency in Masked Language Modeling ICLR 2024

Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning? ICLR 2024

Image Translation as Diffusion Visual Programmers ICLR 2024

Prototypical Transformer As Unified Motion Learners ICML 2024

A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (Extended Abstract) IJCAI 2024

MART: Improving LLM Safety with Multi-round Automatic Red-Teaming NAACL 2024

LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models NAACL 2024

RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models NAACL 2024

LLM-Rec: Personalized Recommendation via Prompting Large Language Models NAACL 2024

PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection EMNLP 2023

Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression EMNLP 2023

Improving Input-label Mapping with Demonstration Replay for In-context Learning EMNLP 2023

Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial? NIPS 2023

ClusterFomer: Clustering As A Universal Visual Learner NIPS 2023

Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context ACL 2023

RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank ACL 2023

Disentangled Phonetic Representation for Chinese Spelling Correction ACL 2023

AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression ACL 2023

Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales ACL 2023

Unified 3D Segmenter As Prototypical Classifiers NIPS 2023

Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality EMNLP 2023

Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling EMNLP 2023

The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models EMNLP 2023

Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems EMNLP 2023

APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models EMNLP 2023

COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation EMNLP 2023

Attack Prompt Generation for Red Teaming and Defending Large Language Models EMNLP 2023

RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training EMNLP 2023

Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning IJCAI 2023

MUSTIE: Multimodal Structural Transformer for Web Information Extraction ACL 2023

Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning CVPR 2023

TransFlow: Transformer As Flow Learner CVPR 2023

MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction ACL 2023

FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models ACL 2023

PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models ACL 2023

E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning ICCV 2023

Meta-training with Demonstration Retrieval for Efficient Few-shot Learning ACL 2023

Fusion or Defusion? Flexible Vision-and-Language Pre-Training ACL 2023

Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection AAAI 2023

SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction EMNLP 2022

CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations COLING 2022

Autoregressive Entity Generation for End-to-End Task-Oriented Dialog COLING 2022

Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation EMNLP 2022

VIRT: Improving Representation-based Text Matching via Virtual Interaction EMNLP 2022

Federated Model Decomposition with Private Vocabulary for Text Classification EMNLP 2022

XPrompt: Exploring the Extreme of Prompt Tuning EMNLP 2022

GL-RG: Global-Local Representation Granularity for Video Captioning IJCAI 2022

AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning NIPS 2022

Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian ECCV 2022

Big Bird: Transformers for Longer Sequences NIPS 2020

ETC: Encoding Long and Structured Inputs in Transformers EMNLP 2020

Instance-Level Label Propagation with Multi-Instance Learning IJCAI 2017

Learning to Hash on Partial Multi-Modal Data IJCAI 2015

Ranking Preserving Hashing for Fast Similarity Search IJCAI 2015

Determining Expert Research Areas with Multi-Instance Learning of Hierarchical Multi-Label Classification Model IJCAI 2015