2025
Tool Learning with Foundation Models.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
ACM Comput. Surv., April, 2025
SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
CoRR, February, 2025
UI-TARS: Pioneering Automated GUI Interaction with Native Agents.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
CoRR, January, 2025
2024
Exploring Format Consistency for Instruction Tuning.
Trans. Mach. Learn. Res., 2024
Exploring Universal Intrinsic Task Subspace for Few-Shot Learning via Prompt Tuning.
,
,
,
,
,
,
,
,
,
,
,
,
IEEE ACM Trans. Audio Speech Lang. Process., 2024
GUICourse: From General Vision Language Models to Versatile GUI Agents.
,
,
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2024
RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation.
,
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2024
UniMem: Towards a Unified View of Long-Context Large Language Models.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2024
Investigate-Consolidate-Exploit: A General Strategy for Inter-Task Agent Self-Evolution.
CoRR, 2024
DebugBench: Evaluating Debugging Capability of Large Language Models.
CoRR, 2024
Empowering Large Language Models: Tool Learning for Real-World Interaction.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the Twelfth International Conference on Learning Representations, 2024
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Large Language Model-based Human-Agent Collaboration for Complex Task Solving.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
DebugBench: Evaluating Debugging Capability of Large Language Models.
,
,
,
,
,
,
,
,
,
,
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents.
,
,
,
,
,
,
,
,
,
,
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Comparing Three Methods of Selecting Training Samples in Supervised Classification of Multispectral Remote Sensing Images.
Sensors, October, 2023
Parameter-efficient fine-tuning of large-scale pre-trained language models.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
Nat. Mac. Intell., March, 2023
Removing Backdoors in Pre-trained Models by Regularized Continual Pre-training.
Trans. Assoc. Comput. Linguistics, 2023
GitAgent: Facilitating Autonomous Agent with GitHub by Tool Extension.
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2023
ProAgent: From Robotic Process Automation to Agentic Process Automation.
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2023
ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2023
Large Language Model as Autonomous Decision Maker.
CoRR, 2023
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents.
,
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2023
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2023
Arbitrary Few Parameters are Good Enough for Adapting Large-scale Pre-trained Language Models.
CoRR, 2023
CREATOR: Disentangling Abstract and Concrete Reasonings of Large Language Models through Tool Creation.
CoRR, 2023
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations.
CoRR, 2023
Tool Learning with Foundation Models.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2023
Human Emotion Knowledge Representation Emerges in Large Language Model and Supports Discrete Emotion Inference.
,
,
,
,
,
,
,
,
,
,
CoRR, 2023
Exploring the Impact of Model Scaling on Parameter-Efficient Tuning.
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Recyclable Tuning for Continual Pre-training.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
WebCPM: Interactive Web Search for Chinese Long-form Question Answering.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Parameter-efficient Weight Ensembling Facilitates Task-level Knowledge Transfer.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
2022
Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Delta Tuning.
CoRR, 2022
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2022
Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models.
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
ProQA: Structural Prompt-based Pre-training for Unified Question Answering.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
On Transferability of Prompt Tuning for Natural Language Processing.
,
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Knowledge Inheritance for Pre-trained Language Models.
,
,
,
,
,
,
,
,
,
,
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Parameter-Efficient Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Exploring Mode Connectivity for Pre-trained Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
FPT: Improving Prompt Tuning Efficiency via Progressive Training.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Pass off Fish Eyes for Pearls: Attacking Model Selection of Pre-trained Models.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
ELLE: Efficient Lifelong Pre-training for Emerging Data.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
bert2BERT: Towards Reusable Pretrained Language Models.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
On Transferability of Prompt Tuning for Natural Language Understanding.
,
,
,
,
,
,
,
,
,
,
CoRR, 2021
Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning.
,
,
,
,
,
,
,
,
,
,
CoRR, 2021
CPM: A large-scale generative Chinese Pre-trained language model.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
AI Open, 2021
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Improving Sequence Modeling Ability of Recurrent Neural Networks via Sememes.
IEEE ACM Trans. Audio Speech Lang. Process., 2020
Learning from Explanations with Neural Execution Tree.
Proceedings of the 8th International Conference on Learning Representations, 2020
2019
Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations.
CoRR, 2019
Enhancing Recurrent Neural Networks with Sememes.
CoRR, 2019
2012
The Current and Future Potential Geographical Distribution of the Italian Locust, Calliptamus Italicus (Linnaeus) (Orthoptera: Acrididae) in China.
Proceedings of the Computer and Computing Technologies in Agriculture VI, 2012