conftrace_

Changze Lv

22 papers · 2023–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ 🐝 Cross-Pollinator (11) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🌈 Renaissance Researcher (6)
🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (54) πŸ† Keyword Champion (2) πŸ† Grand Slam 🀝 Dynamic Duo (18) πŸ‘₯ Mega-Team (27) πŸ“ˆ Trend Setter πŸ’Ž Century Club (19) ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (92)

Conferences

ACL (9) EMNLP (5) ICML (2) IJCAI (2) AAAI (1) COLING (1) ICLR (1) NIPS (1)

Papers

VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck ACL 2026 Explainable Synthetic Image Detection Through Diffusion Timestep Ensembling AAAI 2026 Controllable Memory Usage: Balancing Anchoring and Innovation in Long-Term Human–Agent Interaction ACL 2026 Cost-Effective On-Device Sequential Recommendation with Spiking Neural Networks IJCAI 2025 ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks IJCAI 2025 TripTailor: A Real-World Benchmark for Personalized Travel Planning ACL 2025 Improving Continual Pre-training Through Seamless Data Packing ACL 2025 Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective COLING 2025 Beyond Single Labels: Improving Conversational Recommendation through LLM-Powered Data Augmentation ACL 2025 Multi-Programming Language Sandbox for LLMs ACL 2025 UPLex: Fine-Grained Personality Control in Large Language Models via Unsupervised Lexical Modulation EMNLP 2025 Enhancing Model Privacy in Federated Learning with Random Masking and Quantization EMNLP 2025 Tell Me What You Don’t Know: Enhancing Refusal Capabilities of Role-Playing Agents via Representation Space Analysis and Editing ACL 2025 Dendritic Localized Learning: Toward Biologically Plausible Algorithm ICML 2025 Promoting Data and Model Privacy in Federated Learning through Quantized LoRA EMNLP 2024 Aligning Large Language Models with Human Preferences through Representation Engineering ACL 2024 Advancing Parameter Efficiency in Fine-tuning via Representation Editing ACL 2024 Searching for Best Practices in Retrieval-Augmented Generation EMNLP 2024 Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators NIPS 2024 Efficient and Effective Time-Series Forecasting with Spiking Neural Networks ICML 2024 Spiking Convolutional Neural Networks for Text Classification ICLR 2023 Parameter Efficient Multi-task Fine-tuning by Learning to Transfer Token-wise Prompts EMNLP 2023