Yixuan Weng

Orcid: 0000-0002-9720-8689

According to our database1, Yixuan Weng authored at least 47 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
Towards Visual-Prompt Temporal Answer Grounding in Instructional Video.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Towards better Chinese-centric neural machine translation for low-resource languages.
Comput. Speech Lang., March, 2024

CycleResearcher: Improving Automated Research via Automated Review.
CoRR, 2024

ControlLM: Crafting Diverse Personalities for Language Models.
CoRR, 2024

Distinct but correct: generating diversified and entity-revised medical response.
Sci. China Inf. Sci., 2024

Large Language Models With Holistically Thought Could Be Better Doctors.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

Overview of the NLPCC 2024 Shared Task 7: Multi-lingual Medical Instructional Video Question Answering.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Assessing Knowledge Editing in Language Models via Relation Perspective.
CoRR, 2023

LMTuner: An user-friendly and highly-integrable Training Framework for fine-tuning Large Language Models.
CoRR, 2023

Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database.
CoRR, 2023

Large Language Models Need Holistically Thought in Medical Conversational QA.
CoRR, 2023

Neural Comprehension: Language Models with Compiled Neural Networks.
CoRR, 2023

Overview of the NLPCC 2023 Shared Task: Chinese Medical Instructional Video Question Answering.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Learning to Build Reasoning Chains by Reliable Path Retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2023

Visual Answer Localization with Cross-Modal Mutual Knowledge Transfer.
Proceedings of the IEEE International Conference on Acoustics, 2023

Learning To Locate Visual Answer In Video Corpus Using Question.
Proceedings of the IEEE International Conference on Acoustics, 2023

Large Language Models are Better Reasoners with Self-Verification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Find Parent then Label Children: A Two-stage Taxonomy Completion Method with Pre-trained Language Model.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022
Prompt-based system for personality and interpersonal reactivity prediction.
Softw. Impacts, 2022

Large Language Models are reasoners with Self-Verification.
CoRR, 2022

Artificial Text Detection with Multiple Training Strategies.
CoRR, 2022

Visual Answer Localization with Cross-modal Mutual Knowledge Transfer.
CoRR, 2022

ReasonChainQA: Text-based Complex Question Answering with Explainable Evidence Chains.
CoRR, 2022

LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs.
CoRR, 2022

Towards Visual-Prompt Temporal Answering Grounding in Medical Instructional Video.
CoRR, 2022

Continuing Pre-trained Model with Multiple Training Strategies for Emotional Classification.
Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, 2022

Prompt-based Pre-trained Model for Personality and Interpersonal Reactivity Prediction.
Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, 2022

LingJing at SemEval-2022 Task 3: Applying DeBERTa to Lexical-level Presupposed Relation Taxonomy with Knowledge Transfer.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

LingJing at SemEval-2022 Task 1: Multi-task Self-supervised Pre-training for Multilingual Reverse Dictionary.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Scene-Aware Prompt for Multi-modal Dialogue Understanding and Generation.
Proceedings of the Natural Language Processing and Chinese Computing, 2022

MedConQA: Medical Conversational Question Answering System based on Knowledge Graphs.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Multi-tasking and Multi-stage Chinese Minority Pre-trained Language Model.
Proceedings of the Machine Translation - 18th China Conference, 2022

Learning to Answer Complex Visual Questions from Multi-View Analysis.
Proceedings of the CCKS 2022 - Evaluation Track, 2022

VPAI_Lab at MedVidQA 2022: A Two-Stage Cross-modal Fusion Method for Medical Instructional Video Classification.
Proceedings of the 21st Workshop on Biomedical Language Processing, 2022

A Knowledge storage and semantic space alignment Method for Multi-documents dialogue generation.
Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering, 2022

ANACONDA: Adversarial training with iNtrust loss in ACrONym DisambiguAtion.
Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing.
Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

SimCLAD: A Simple Framework for Contrastive Learning of Acronym Disambiguation.
Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

PSG: Prompt-based Sequence Generation for Acronym Extraction.
Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

A Novel Initial Reminder Framework for Acronym Extraction.
Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

2021
ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing.
CoRR, 2021

SimCLAD: A Simple Framework for Contrastive Learning of Acronym Disambiguation.
CoRR, 2021

More but Correct: Generating Diversified and Entity-revised Medical Response.
CoRR, 2021

Does BERT Know Which Answer Beyond the Question?
Proceedings of the CCKS 2021 - Evaluation Track, 2021


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