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Shiwen Ni

18 papers · 2020–2026 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (51) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (14) πŸ‘₯ Mega-Team Β· Squad ⚑ Prolific Year Β· Productive ❓ The Questioner πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (5) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (93)

Venues

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

Top co-authors

Min Yang (14) Chengming Li (8) Ruifeng Xu (7) Feiteng Fang (6) Hamid Alinejad-Rokny (5) Ziqiang Liu (5) Xiping Hu (5) Yuelin Bai (5) Ge Zhang (4) Wenhao Huang (4)

Research topics

Artificial Intelligence (14) Core AI (14) Machine Learning (13) Deep Learning (10) Natural Language Processing (10) Learning Types Β· Machine Learning (8) Resources & Methods (7) Application Areas (5) Optimization & Theory Β· Machine Learning (4) Applications (3) Architectures (3) Generation (3) Learning Types Β· Deep Learning (3) Models (3) Optimization & Theory Β· Deep Learning (3)

Keywords

large language model (8) benchmark evaluation (5) multimodal large language model (3) hallucination mitigation (2) adversarial training (2) higher-order perception (2) visual question answering (1) ensemble learning (1) multi-task learning (1) model distillation (1) knowledge editing (1) question answering (1) model evaluation (1) image captioning (1) knowledge distillation (1) transfer learning (1) instruction tuning (1) intellectual property (1) predictive accuracy (1) knowledge transfer (1)

Papers

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