conftrace_

Wenxuan Zhou

53 papers · 2013–2026 · 13 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+13 more ↓ 🏃 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)

Research topics

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