Cheng Jiayang

Orcid: 0000-0003-1140-6084

According to our database1, Cheng Jiayang authored at least 33 papers between 2021 and 2026.

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Bibliography

2026
Training LLMs for Multi-Step Tool Orchestration with Constrained Data Synthesis and Graduated Rewards.
CoRR, March, 2026

AMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon Conversations.
CoRR, March, 2026

Survey on Factuality in Large Language Models.
ACM Comput. Surv., January, 2026

2025
NewtonBench: Benchmarking Generalizable Scientific Law Discovery in LLM Agents.
CoRR, October, 2025

XToM: Exploring the Multilingual Theory of Mind for Large Language Models.
CoRR, June, 2025

LogiDynamics: Unraveling the Dynamics of Logical Inference in Large Language Model Reasoning.
CoRR, February, 2025

Top Ten Challenges Towards Agentic Neural Graph Databases.
IEEE Data Eng. Bull., 2025

Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

LogiDynamics: Unraveling the Dynamics of Inductive, Abductive and Deductive Logical Inferences in LLM Reasoning.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

InteGround: On the Evaluation of Verification and Retrieval Planning in Integrative Grounding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024
Persona Knowledge-Aligned Prompt Tuning Method for Online Debate.
CoRR, 2024

RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Can Language Models Learn to Skip Steps?
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

OpenResearcher: Unleashing AI for Accelerated Scientific Research.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Boosting Scientific Concepts Understanding: Can Analogy from Teacher Models Empower Student Models?
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

ActPlan-1K: Benchmarking the Procedural Planning Ability of Visual Language Models in Household Activities.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

ECON: On the Detection and Resolution of Evidence Conflicts.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024


NegotiationToM: A Benchmark for Stress-testing Machine Theory of Mind on Negotiation Surrounding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Audience Persona Knowledge-Aligned Prompt Tuning Method for Online Debate.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge Graphs.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity.
CoRR, 2023

ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations.
CoRR, 2023

Self-Consistent Narrative Prompts on Abductive Natural Language Inference.
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

StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Boosting Graph Structure Learning with Dummy Nodes.
Proceedings of the International Conference on Machine Learning, 2022

Learning from Sibling Mentions with Scalable Graph Inference in Fine-Grained Entity Typing.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
A Question-answering Based Framework for Relation Extraction Validation.
CoRR, 2021

Incorporating Syntactic Information into Relation Representations for Enhanced Relation Extraction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Refining Sample Embeddings with Relation Prototypes to Enhance Continual Relation Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021


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