conftrace_

Shiwen Ni

19 papers · 2020–2026 · 9 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+9 more ↓ 🏃 Academic Marathon (5) 🌍 Conference Polyglot (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
🐝 Cross-Pollinator (12) 🌍 Conference Polyglot (9) 🏃 Academic Marathon (5) 🤝 Dynamic Duo (13) 👥 Mega-Team (26) 💎 Century Club (18) Prolific Year (8) The Questioner 🗃️ Keyword Collector (86)

Conferences

ACL (8) AAAI (2) COLING (2) EMNLP (2) ACML (1) ICML (1) IJCNLP (1) NAACL (1) NIPS (1)

Research topics

Papers

Automatic Paper Reviewing with Heterogeneous Graph Reasoning over LLM-Simulated Reviewer-Author Debates AAAI 2026 Training on the Benchmark Is Not All You Need AAAI 2025 LIME: Less Is More for MLLM Evaluation ACL 2025 Quantification of Large Language Model Distillation ACL 2025 Can MLLMs Understand the Deep Implication Behind Chinese Images? ACL 2025 AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents ACL 2025 Expanding before Inferring: Enhancing Factuality in Large Language Models through Premature Layers Interpolation EMNLP 2025 Earley-Driven Dynamic Pruning for Efficient Structured Decoding ICML 2025 COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning NAACL 2025 II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models NIPS 2024 MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property COLING 2024 Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models ACL 2024 Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training ACL 2024 E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models ACL 2024 Layer-wise Regularized Dropout for Neural Language Models COLING 2024 R-AT: Regularized Adversarial Training for Natural Language Understanding EMNLP 2022 Meet The Truth: Leverage Objective Facts and Subjective Views for Interpretable Rumor Detection IJCNLP 2021 Meet The Truth: Leverage Objective Facts and Subjective Views for Interpretable Rumor Detection ACL 2021 PSForest: Improving Deep Forest via Feature Pooling and Error Screening ACML 2020