Jifan Yu

Orcid: 0000-0003-3430-4048

According to our database1, Jifan Yu authored at least 62 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Exploring sequence-to-sequence taxonomy expansion via language model probing.
Expert Syst. Appl., 2024

Awaking the Slides: A Tuning-free and Knowledge-regulated AI Tutoring System via Language Model Coordination.
CoRR, 2024

From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents.
CoRR, 2024

Simulating Classroom Education with LLM-Empowered Agents.
CoRR, 2024

SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation.
CoRR, 2024

Knowledge-to-Jailbreak: One Knowledge Point Worth One Attack.
CoRR, 2024

A Solution-based LLM API-using Methodology for Academic Information Seeking.
CoRR, 2024

Explainable Few-shot Knowledge Tracing.
CoRR, 2024

TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios.
CoRR, 2024

Reverse That Number! Decoding Order Matters in Arithmetic Learning.
CoRR, 2024

PST-Bench: Tracing and Benchmarking the Source of Publications.
CoRR, 2024

NovaChart: A Large-scale Dataset towards Chart Understanding and Generation of Multimodal Large Language Models.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Entity Set Expansion Based on Category Prompts in MOOCs.
Proceedings of the Knowledge Science, Engineering and Management, 2024

OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

R-Eval: A Unified Toolkit for Evaluating Domain Knowledge of Retrieval Augmented Large Language Models.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024


CharacterGLM: Customizing Social Characters with Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

A Cause-Effect Look at Alleviating Hallucination of Knowledge-grounded Dialogue Generation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Untangle the KNOT: Interweaving Conflicting Knowledge and Reasoning Skills in Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Evaluating Generative Language Models in Information Extraction as Subjective Question Correction.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models.
CoRR, 2023

Mastering the Task of Open Information Extraction with Large Language Models and Consistent Reasoning Environment.
CoRR, 2023

BiLL-VTG: Bridging Large Language Models and Lightweight Visual Tools for Video-based Texts Generation.
CoRR, 2023

Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction.
CoRR, 2023

ChatLog: Recording and Analyzing ChatGPT Across Time.
CoRR, 2023

GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation.
CoRR, 2023

MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Benchmarking Foundation Models with Language-Model-as-an-Examiner.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue Generation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Exploring the Cognitive Knowledge Structure of Large Language Models: An Educational Diagnostic Assessment Approach.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

FFAEval: Evaluating Dialogue System via Free-For-All Ranking.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

LittleMu: Deploying an Online Virtual Teaching Assistant via Heterogeneous Sources Integration and Chain of Teach Prompts.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Exploring the Effectiveness of Student Behavior in Prerequisite Relation Discovery for Concepts.
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

Fine-Grained Category Generation for Sets of Entities.
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

Learn to Not Link: Exploring NIL Prediction in Entity Linking.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Distantly Supervised Course Concept Extraction in MOOCs with Academic Discipline.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

KoRC: Knowledge Oriented Reading Comprehension Benchmark for Deep Text Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

VisKoP: Visual Knowledge oriented Programming for Interactive Knowledge Base Question Answering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022
EDUKG: a Heterogeneous Sustainable K-12 Educational Knowledge Graph.
CoRR, 2022

ConstGCN: Constrained Transmission-based Graph Convolutional Networks for Document-level Relation Extraction.
CoRR, 2022

Towards a General Pre-training Framework for Adaptive Learning in MOOCs.
CoRR, 2022

ICLEA: Interactive Contrastive Learning for Self-supervised Entity Alignment.
CoRR, 2022

XDAI: A Tuning-free Framework for Exploiting Pre-trained Language Models in Knowledge Grounded Dialogue Generation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

UPER: Boosting Multi-Document Summarization with an Unsupervised Prompt-based Extractor.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Interactive Contrastive Learning for Self-Supervised Entity Alignment.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

CStory: A Chinese Large-scale News Storyline Dataset.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

HOSMEL: A Hot-Swappable Modularized Entity Linking Toolkit for Chinese.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

Program Transfer for Answering Complex Questions over Knowledge Bases.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Expertise-Aware Crowdsourcing Taxonomy Enrichment.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Learning Behavior-Aware Cognitive Diagnosis for Online Education Systems.
Proceedings of the Data Science, 2021

MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
ExpanRL: Hierarchical Reinforcement Learning for Course Concept Expansion in MOOCs.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Geographical Information Enhanced POI Hierarchical Classification.
Proceedings of the Web Information Systems and Applications, 2020

2019
Course Concept Expansion in MOOCs with External Knowledge and Interactive Game.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Predicting Concept-Based Research Trends with Rhetorical Framing.
Proceedings of the Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding, 2018


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