Liangming Pan

Orcid: 0000-0002-9184-2996

According to our database1, Liangming Pan authored at least 78 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
A Survey on Data Selection for Language Models.
Trans. Mach. Learn. Res., 2024

Automatically Correcting Large Language Models: <i>Surveying the Landscape of Diverse Automated Correction Strategies</i>.
Trans. Assoc. Comput. Linguistics, 2024

Improving Causal Reasoning in Large Language Models: A Survey.
CoRR, 2024

COrAL: Order-Agnostic Language Modeling for Efficient Iterative Refinement.
CoRR, 2024

Understanding the Interplay between Parametric and Contextual Knowledge for Large Language Models.
CoRR, 2024

Gödel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement.
CoRR, 2024

TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning.
CoRR, 2024

MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations.
CoRR, 2024

SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation.
CoRR, 2024

DistiLRR: Transferring Code Repair for Low-Resource Programming Languages.
CoRR, 2024

Updating Language Models with Unstructured Facts: Towards Practical Knowledge Editing.
CoRR, 2024

SciAgent: Tool-augmented Language Models for Scientific Reasoning.
CoRR, 2024

Perils of Self-Feedback: Self-Bias Amplifies in Large Language Models.
CoRR, 2024

Tweets to Citations: Unveiling the Impact of Social Media Influencers on AI Research Visibility.
CoRR, 2024

Position: AI/ML Influencers Have a Place in the Academic Process.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Survey on Detection of LLMs-Generated Content.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

AKEW: Assessing Knowledge Editing in the Wild.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

SciAgent: Tool-augmented Language Models for Scientific Reasoning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Faithful Logical Reasoning via Symbolic Chain-of-Thought.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Efficient Online Data Mixing For Language Model Pre-Training.
CoRR, 2023

Factcheck-GPT: End-to-End Fine-Grained Document-Level Fact-Checking and Correction of LLM Output.
CoRR, 2023

Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies.
CoRR, 2023

Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models.
CoRR, 2023

Mitigating Language Model Hallucination with Interactive Question-Knowledge Alignment.
CoRR, 2023

Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation.
CoRR, 2023

Hashtag-Guided Low-Resource Tweet Classification.
Proceedings of the ACM Web Conference 2023, 2023

Investigating Zero- and Few-shot Generalization in Fact Verification.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Attacking Open-domain Question Answering by Injecting Misinformation.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

FollowupQG: Towards information-seeking follow-up question generation.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

On the Risk of Misinformation Pollution with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Doolittle: Benchmarks and Corpora for Academic Writing Formalization.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Fact-Checking Complex Claims with Program-Guided Reasoning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Modeling and Leveraging Prerequisite Context in Recommendation.
CoRR, 2022

Ingredient-enriched Recipe Generation from Cooking Videos.
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

Food Nutrient Composition Analysis Based on Adaptive AP Clustering Algorithm.
Proceedings of the 7th International Conference on Intelligent Information Processing, 2022

KHANQ: A Dataset for Generating Deep Questions in Education.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

CoHS-CQG: Context and History Selection for Conversational Question Generation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Interpreting the Robustness of Neural NLP Models to Textual Perturbations.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
A Hybrid Approach for Detecting Prerequisite Relations in Multi-Modal Food Recipes.
IEEE Trans. Multim., 2021

ContraQA: Question Answering under Contradicting Contexts.
CoRR, 2021

Causally Estimating the Sensitivity of Neural NLP Models to Spurious Features.
CoRR, 2021

Unsupervised Multi-hop Question Answering by Question Generation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Zero-shot Fact Verification by Claim Generation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment.
CoRR, 2020

KQA Pro: A Large Diagnostic Dataset for Complex Question Answering over Knowledge Base.
CoRR, 2020

Multi-modal Cooking Workflow Construction for Food Recipes.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Evaluation of College Students' Employment Quality Based on Analytic Hierarchy Process.
Proceedings of the EBIMCS 2020: 3rd International Conference on E-Business, 2020

Hyperbolic Visual Embedding Learning for Zero-Shot Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Exploring Question-Specific Rewards for Generating Deep Questions.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Semantic Graphs for Generating Deep Questions.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Recent Advances in Neural Question Generation.
CoRR, 2019

Resource Mention Extraction for MOOC Discussion Forums.
IEEE Access, 2019

2018
Condition Monitoring in a Power Module Using On-State Resistance and Case Temperature.
IEEE Access, 2018

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

2017
Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Prerequisite Relation Learning for Concepts in MOOCs.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
RiMOM results for OAEI 2016.
Proceedings of the 11th International Workshop on Ontology Matching co-located with the 15th International Semantic Web Conference (ISWC 2016), 2016

Domain Specific Cross-Lingual Knowledge Linking Based on Similarity Flooding.
Proceedings of the Knowledge Science, Engineering and Management, 2016

Boosting to Build a Large-Scale Cross-Lingual Ontology.
Proceedings of the Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data, 2016


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