Shiwen Ni
19 papers · 2020–2026 · 9 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
🏃 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)
Top co-authors
Research topics
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
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