conftrace_

An Zhang

28 papers · 2021–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (12) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸƒ Academic Marathon (5)
πŸƒ Academic Marathon (5) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (48) 🧬 Topic Evolution πŸ† Grand Slam πŸ‘‘ Triple Crown 🀝 Dynamic Duo (20) πŸ”₯ Unstoppable (5) πŸ—ƒοΈ Keyword Collector (110) πŸ’Ž Century Club (26) πŸ“ˆ Trend Setter ⚑ Prolific Year (5)

Conferences

NIPS (10) ACL (6) ICLR (5) EMNLP (3) AAAI (1) ECCV (1) ICML (1) NAACL (1)

Papers

SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication AAAI 2026 Debiased Orthogonal Boundary-Driven Efficient Noise Mitigation ACL 2026 MPO: Multilingual Safety Alignment via Reward Gap Optimization ACL 2025 Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs ACL 2025 Neuron-Level Sequential Editing for Large Language Models ACL 2025 AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defender EMNLP 2025 LaMP-Val: Large Language Models Empower Personalized Valuation in Auction EMNLP 2025 Preference Diffusion for Recommendation ICLR 2025 Language Representations Can be What Recommenders Need: Findings and Potentials ICLR 2025 Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment ICLR 2025 Hello Again! LLM-powered Personalized Agent for Long-term Dialogue NAACL 2025 ReactXT: Understanding Molecular β€œReaction-ship” via Reaction-Contextualized Molecule-Text Pretraining ACL 2024 Disentangling Masked Autoencoders for Unsupervised Domain Generalization ECCV 2024 On Softmax Direct Preference Optimization for Recommendation NIPS 2024 ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation NIPS 2024 Customizing Language Models with Instance-wise LoRA for Sequential Recommendation NIPS 2024 Towards Neuron Attributions in Multi-Modal Large Language Models NIPS 2024 ProtT3: Protein-to-Text Generation for Text-based Protein Understanding ACL 2024 Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss NIPS 2023 ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction EMNLP 2023 Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis NIPS 2023 Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules NIPS 2023 Boosting Causal Discovery via Adaptive Sample Reweighting ICLR 2023 Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering NIPS 2022 Discovering Invariant Rationales for Graph Neural Networks ICLR 2022 Let Invariant Rationale Discovery Inspire Graph Contrastive Learning ICML 2022 SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments NIPS 2022 Towards Multi-Grained Explainability for Graph Neural Networks NIPS 2021