Leyang Cui

Orcid: 0000-0001-5072-884X

According to our database1, Leyang Cui authored at least 61 papers between 2019 and 2024.

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Bibliography

2024
Gated Slot Attention for Efficient Linear-Time Sequence Modeling.
CoRR, 2024

On the Transformations across Reward Model, Parameter Update, and In-Context Prompt.
CoRR, 2024

Mitigating Hallucinations of Large Language Models via Knowledge Consistent Alignment.
CoRR, 2024

Inferflow: an Efficient and Highly Configurable Inference Engine for Large Language Models.
CoRR, 2024

Retrieval is Accurate Generation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Knowledge Verification to Nip Hallucination in the Bud.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Not All Preference Pairs Are Created Equal: A Recipe for Annotation-Efficient Iterative Preference Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Benchmarking and Improving Long-Text Translation with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

MAGE: Machine-generated Text Detection in the Wild.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

NaRuto: Automatically Acquiring Planning Models from Narrative Texts.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
LogiQA 2.0 - An Improved Dataset for Logical Reasoning in Natural Language Understanding.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Alleviating Hallucinations of Large Language Models through Induced Hallucinations.
CoRR, 2023

Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs.
CoRR, 2023

A Comprehensive Study of GPT-4V's Multimodal Capabilities in Medical Imaging.
CoRR, 2023

Collaborative Evaluation: Exploring the Synergy of Large Language Models and Humans for Open-ended Generation Evaluation.
CoRR, 2023

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.
CoRR, 2023

Automated Action Model Acquisition from Narrative Texts.
CoRR, 2023

Disco-Bench: A Discourse-Aware Evaluation Benchmark for Language Modelling.
CoRR, 2023

Deepfake Text Detection in the Wild.
CoRR, 2023

Multi-Task Instruction Tuning of LLaMa for Specific Scenarios: A Preliminary Study on Writing Assistance.
CoRR, 2023

LogiCoT: Logical Chain-of-Thought Instruction-Tuning Data Collection with GPT-4.
CoRR, 2023

EDeR: A Dataset for Exploring Dependency Relations Between Events.
CoRR, 2023

LogiCoT: Logical Chain-of-Thought Instruction Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

EDeR: Towards Understanding Dependency Relations Between Events.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Non-autoregressive Text Editing with Copy-aware Latent Alignments.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

RobustGEC: Robust Grammatical Error Correction Against Subtle Context Perturbation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Towards Learning Action Models from Narrative Text Through Extraction and Ordering of Structured Events.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Explicit Syntactic Guidance for Neural Text Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Enhancing Grammatical Error Correction Systems with Explanations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Effidit: An Assistant for Improving Writing Efficiency.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022
Label Attention Network for Structured Prediction.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Cross-domain Generalization for AMR Parsing.
CoRR, 2022

Effidit: Your AI Writing Assistant.
CoRR, 2022

Towards Robust Online Dialogue Response Generation.
CoRR, 2022

Do Prompts Solve NLP Tasks Using Natural Language?
CoRR, 2022

Multi-Granularity Optimization for Non-Autoregressive Translation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Cross-domain Generalization for AMR Parsing.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Challenges to Open-Domain Constituency Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Investigating Non-local Features for Neural Constituency Parsing.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Improving Skip-Gram Embeddings Using BERT.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Knowledge Enhanced Fine-Tuning for Better Handling Unseen Entities in Dialogue Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Solving Aspect Category Sentiment Analysis as a Text Generation Task.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Template-Based Named Entity Recognition Using BART.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

On Commonsense Cues in BERT for Solving Commonsense Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Natural Language Inference in Context - Investigating Contextual Reasoning over Long Texts.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Does BERT Solve Commonsense Task via Commonsense Knowledge?
CoRR, 2020

LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

What Have We Achieved on Text Summarization?
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Making the Best Use of Review Summary for Sentiment Analysis.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Does Chinese BERT Encode Word Structure?
Proceedings of the 28th International Conference on Computational Linguistics, 2020

MuTual: A Dataset for Multi-Turn Dialogue Reasoning.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Evaluating Commonsense in Pre-Trained Language Models.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Using Dynamic Embeddings to Improve Static Embeddings.
CoRR, 2019

Exploring Hierarchical Interaction Between Review and Summary for Better Sentiment Analysis.
CoRR, 2019

Hierarchically-Refined Label Attention Network for Sequence Labeling.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019


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