Jifan Yu
32 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(25)
Natural Language Processing
(25)
Core AI
(24)
Machine Learning
(18)
Applications
(15)
Learning Types Β· Machine Learning
(10)
Resources & Methods
(10)
Deep Learning
(7)
Generation
(7)
Optimization & Theory
(7)
Learning Types Β· Deep Learning
(6)
Interdisciplinary
(4)
Core Methods
(4)
Learning Paradigms
(4)
Application Areas
(3)
Keywords
large language model
(10)
question answering
(7)
knowledge base
(6)
knowledge graph
(5)
language model
(4)
benchmark evaluation
(4)
transfer learning
(3)
massive open online course
(3)
dialogue system
(3)
pre-trained language model
(3)
knowledge extraction
(3)
entity linking
(2)
knowledge base question answering
(2)
concept expansion
(2)
concept extraction
(2)
text generation
(2)
chain-of-thought reasoning
(2)
information retrieval
(2)
information extraction
(2)
distant supervision
(2)
Papers
Beyond Self-Report: Bridging the Intention-Behavior Gap in Critical Thinking Assessment via Interpretable Multi-Agent System
ACL 2026
From Knowing to Teaching: Scaffolding Pedagogical Decisions for LLM Agent
ACL 2026
SimPBL: A Multi-Agent Framework for Project-Based Learning
ACL 2026
CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis
ACL 2025
Dynamic Scaling of Unit Tests for Code Reward Modeling
ACL 2025
Simulating Classroom Education with LLM-Empowered Agents
NAACL 2025
TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
ACL 2025
A Cause-Effect Look at Alleviating Hallucination of Knowledge-grounded Dialogue Generation
COLING 2024
CharacterGLM: Customizing Social Characters with Large Language Models
EMNLP 2024
Evaluating Generative Language Models in Information Extraction as Subjective Question Correction
COLING 2024
KoLA: Carefully Benchmarking World Knowledge of Large Language Models
ICLR 2024
LM-Interview: An Easy-to-use Smart Interviewer System via Knowledge-guided Language Model Exploitation
EMNLP 2024
SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation
NeurIPS 2024
Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking
ACL 2024
Untangle the KNOT: Interweaving Conflicting Knowledge and Reasoning Skills in Large Language Models
COLING 2024
WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models
ACL 2024
Benchmarking Foundation Models with Language-Model-as-an-Examiner
NeurIPS 2023
Distantly Supervised Course Concept Extraction in MOOCs with Academic Discipline
ACL 2023
Exploring the Cognitive Knowledge Structure of Large Language Models: An Educational Diagnostic Assessment Approach
EMNLP 2023
FFAEval: Evaluating Dialogue System via Free-For-All Ranking
EMNLP 2023
KoRC: Knowledge Oriented Reading Comprehension Benchmark for Deep Text Understanding
ACL 2023
Learn to Not Link: Exploring NIL Prediction in Entity Linking
ACL 2023
Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction
EMNLP 2023
VisKoP: Visual Knowledge oriented Programming for Interactive Knowledge Base Question Answering
ACL 2023
HOSMEL: A Hot-Swappable Modularized Entity Linking Toolkit for Chinese
ACL 2022
Program Transfer for Answering Complex Questions over Knowledge Bases
ACL 2022
Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering
ACL 2022
UPER: Boosting Multi-Document Summarization with an Unsupervised Prompt-based Extractor
COLING 2022
Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making
ACL 2021
ExpanRL: Hierarchical Reinforcement Learning for Course Concept Expansion in MOOCs
AACL 2020
MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs
ACL 2020
Course Concept Expansion in MOOCs with External Knowledge and Interactive Game
ACL 2019