Wenxuan Zhou
53 papers · 2013–2026 · 13 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (12) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (13) 🐝 Cross-Pollinator (7)
🧭
Keyword Pioneer
🌈
Renaissance Researcher
(7)
🌍
Conference Polyglot
(13)
🤝
Dynamic Duo
(27)
🏆
Keyword Champion
(2)
👥
Mega-Team
(21)
🔬
Deep Specialist
(12)
🧬
Topic Evolution
🗃️
Keyword Collector
(185)
❓
The Questioner
(4)
⚡
Prolific Year
(5)
🔥
Unstoppable
(8)
💎
Century Club
(50)
Conferences
ACL (14)
EMNLP (12)
CORL (5)
ICLR (5)
NAACL (5)
NSDI (3)
AAAI (2)
EACL (2)
AACL (1)
CONLL (1)
ICML (1)
IJCNLP (1)
RSS (1)
Top co-authors
Research topics
Keywords
large language model
(12)
relation extraction
(10)
contrastive learning
(4)
preference optimization
(4)
language model
(4)
reinforcement learning from human feedback
(3)
information extraction
(3)
pretrained language model
(3)
knowledge conflict
(3)
transfer learning
(3)
named entity recognition
(3)
self-supervised learning
(3)
pre-trained language model
(3)
direct preference optimization
(3)
model alignment
(2)
text classification
(2)
instruction tuning
(2)
label noise
(2)
representation learning
(2)
instruction following
(2)
Papers
RedCoder: Automated Multi-Turn Red Teaming for Code LLMs
ACL 2026
Taming Extreme Tokens: Covariance-Aware GRPO with Gaussian-Kernel Advantage Reweighting
ACL 2026
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe
ACL 2026
T-REG: Preference Optimization with Token-Level Reward Regularization
ACL 2025
FocalPO: Enhancing Preference Optimizing by Focusing on Correct Preference Rankings
ACL 2025
Code Execution as Grounded Supervision for LLM Reasoning
EMNLP 2025
Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy
ICLR 2025
Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization
ICML 2025
Learning Auxiliary Tasks Improves Reference-Free Hallucination Detection in Open-Domain Long-Form Generation
ACL 2025
ThinkGuard: Deliberative Slow Thinking Leads to Cautious Guardrails
ACL 2025
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding
ICLR 2025
Improving Model Factuality with Fine-grained Critique-based Evaluator
ACL 2025
mDPO: Conditional Preference Optimization for Multimodal Large Language Models
EMNLP 2024
Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets
EMNLP 2024
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
ICLR 2024
HACMan++: Spatially-Grounded Motion Primitives for Manipulation
RSS 2024
Contrastive Instruction Tuning
ACL 2024
On-the-fly Denoising for Data Augmentation in Natural Language Understanding
EACL 2024
Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning
NAACL 2024
Visual Manipulation with Legs
CORL 2024
WPO: Enhancing RLHF with Weighted Preference Optimization
EMNLP 2024
Context-faithful Prompting for Large Language Models
EMNLP 2023
A Causal View of Entity Bias in (Large) Language Models
EMNLP 2023
Continual Contrastive Finetuning Improves Low-Resource Relation Extraction
ACL 2023
How Fragile is Relation Extraction under Entity Replacements?
EMNLP 2023
HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation
CORL 2023
GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding
EMNLP 2023
Multi-hop Evidence Retrieval for Cross-document Relation Extraction
ACL 2023
Robust Natural Language Understanding with Residual Attention Debiasing
ACL 2023
How Fragile is Relation Extraction under Entity Replacements?
CONLL 2023
Parameter-Efficient Tuning with Special Token Adaptation
EACL 2023
An Improved Baseline for Sentence-level Relation Extraction
IJCNLP 2022
Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity
CORL 2022
An Improved Baseline for Sentence-level Relation Extraction
AACL 2022
Prix-LM: Pretraining for Multilingual Knowledge Base Construction
ACL 2022
Sharpness-Aware Minimization with Dynamic Reweighting
EMNLP 2022
Summarization as Indirect Supervision for Relation Extraction
EMNLP 2022
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis
NAACL 2022
Answer Consolidation: Formulation and Benchmarking
NAACL 2022
GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction
NAACL 2022
Contrastive Out-of-Distribution Detection for Pretrained Transformers
EMNLP 2021
Learning from Noisy Labels for Entity-Centric Information Extraction
EMNLP 2021
IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization
AAAI 2021
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling
AAAI 2021
Learning Off-Policy with Online Planning
CORL 2021
PLAS: Latent Action Space for Offline Reinforcement Learning
CORL 2020
Learning from Explanations with Neural Execution Tree
ICLR 2020
A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification
NAACL 2019
Environment Probing Interaction Policies
ICLR 2019
Automatically Correcting Networks with NEAt
NSDI 2018
Self-regulation: Employing a Generative Adversarial Network to Improve Event Detection
ACL 2018
Enforcing Customizable Consistency Properties in Software-Defined Networks
NSDI 2015
VeriFlow: Verifying Network-Wide Invariants in Real Time
NSDI 2013