Jingwei Ni
14 papers · 2021–2026 · 4 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (9) 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (5)
🐝
Cross-Pollinator
(9)
🧭
Keyword Pioneer
🏃
Academic Marathon
(5)
🧬
Topic Evolution
💎
Century Club
(10)
🔥
Unstoppable
(5)
❓
The Questioner
(2)
Conferences
ACL (7)
EMNLP (4)
NAACL (2)
EACL (1)
Top co-authors
Keywords
large language model
(9)
domain adaptation
(2)
retrieval augmented generation
(2)
information retrieval
(2)
synthetic data generation
(1)
natural language processing
(1)
semi-supervised learning
(1)
chain-of-thought reasoning
(1)
transfer learning
(1)
machine translation
(1)
benchmark dataset
(1)
task relatedness
(1)
document relevance
(1)
minimum description length
(1)
document analysis
(1)
text classification
(1)
supervised fine-tuning
(1)
hallucination mitigation
(1)
text embedding
(1)
multi-task learning
(1)
Papers
Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models
ACL 2026
Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
ACL 2026
ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM Reasoning
ACL 2026
Tackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical Argumentation
ACL 2026
Can Reasoning Help Large Language Models Capture Human Annotator Disagreement?
EACL 2026
Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification
EMNLP 2025
DIRAS: Efficient LLM Annotation of Document Relevance for Retrieval Augmented Generation
NAACL 2025
ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures
EMNLP 2024
Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering
ACL 2024
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators
ACL 2024
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP
ACL 2023
CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools
EMNLP 2023
Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance
NAACL 2022
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP
EMNLP 2021