Jingwei Ni
14 papers · 2021–2026 · 4 venues · across top CS/AI venues
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The Questioner
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Research topics
Artificial Intelligence
(10)
Natural Language Processing
(9)
Core AI
(9)
Machine Learning
(8)
Applications Β· Natural Language Processing
(8)
Learning Types Β· Machine Learning
(6)
Resources & Methods
(4)
Deep Learning
(3)
Optimization & Theory
(3)
Computer Science
(2)
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(2)
Learning Types Β· Deep Learning
(2)
Data Science & Analytics
(1)
Keywords
large language model
(9)
retrieval-augmented generation
(2)
information retrieval
(2)
domain adaptation
(2)
natural language processing
(1)
text classification
(1)
multi-task learning
(1)
dataset bia
(1)
synthetic data generation
(1)
chain-of-thought reasoning
(1)
task relatedness
(1)
document relevance
(1)
minimum description length
(1)
document analysis
(1)
supervised fine-tuning
(1)
benchmark dataset
(1)
hallucination mitigation
(1)
text embedding
(1)
machine translation
(1)
transfer learning
(1)
Papers
Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
ACL 2026
Can Reasoning Help Large Language Models Capture Human Annotator Disagreement?
EACL 2026
Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models
ACL 2026
Tackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical Argumentation
ACL 2026
ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM Reasoning
ACL 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
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators
ACL 2024
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
CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools
EMNLP 2023
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP
ACL 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