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08/21/2023
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents
Autonomous agents empowered by Large Language Models (LLMs) have undergo...
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08/14/2023
ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate
Text evaluation has historically posed significant challenges, often dem...
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07/16/2023
Communicative Agents for Software Development
Software engineering is a domain characterized by intricate decision-mak...
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06/04/2023
Arbitrary Few Parameters are Good Enough for Adapting Large-scale Pre-trained Language Models
Parameter-efficient tuning (PET) methods can effectively drive extremely...
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04/17/2023
Tool Learning with Foundation Models
Humans possess an extraordinary ability to create and utilize tools, all...
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02/19/2023
Human Emotion Knowledge Representation Emerges in Large Language Model and Supports Discrete Emotion Inference
How humans infer discrete emotions is a fundamental research question in...
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11/12/2021
On Transferability of Prompt Tuning for Natural Language Understanding
Prompt tuning (PT) is a promising parameter-efficient method to utilize ...
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10/15/2021
Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning
How can pre-trained language models (PLMs) learn universal representatio...
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05/28/2021
Knowledge Inheritance for Pre-trained Language Models
Recent explorations of large-scale pre-trained language models (PLMs) su...
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02/07/2021
CSS-LM: A Contrastive Framework for Semi-supervised Fine-tuning of Pre-trained Language Models
Fine-tuning pre-trained language models (PLMs) has demonstrated its effe...
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12/01/2020
CPM: A Large-scale Generative Chinese Pre-trained Language Model
Pre-trained Language Models (PLMs) have proven to be beneficial for vari...
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09/29/2020