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EET-LLM: Enhancing the Emotional, Empathetic and Task-Oriented Capabilities of a LLM

This repository is the official codebase for EET-LLM. We deal with the creation of an emotional, empathetic and task-oriented LLM that is favorable to make more human-centric responses and be more friendly to humans. We state the final task to be making the human emotionally happy. The working of the same can be viewed here.

This repository is a consolidated structure of everything to do with Emotional and Empathetic LLMs. We cover all papers read, datasets, codebases discovered and more.

List of Contents

EET-LLM

Here is a simplified workflow of this LLM. framework

You may also test out EET-LLM hosted via Streamlit: https://eet-llm.streamlit.app/

Any feedback and other improvements can be reported to the authors in the Issues section of this repo. If not, you may also send an email to the Authors (mentioned in the Authors section).

Presentation @ CDAC

This work was also presented to several interns and faculties at the Centre for Development of Advanced Computing, Kolkata. This presentation was done by Advik Raj Basani.

Video Thumbnail

The same presentation can be found here.

Literature Review

Papers and Publications

Year Title Paper Institute
2023 Emotional Intelligence of Large Language Models arXiv Department of Psychology & Tsinghua Laboratory of Brain and Intelligence
2024 EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis arXiv The University of Manchester
2023 Large Language Models Understand and Can Be Enhanced by Emotional Stimuli arXiv Microsoft, Institute of Software, CAS
2023 Towards Emotion-Based Synthetic Consciousness: Using LLMs to Estimate Emotion Probability Vectors arXiv Warwick University
2024 Enhancing Emotional Generation Capability of Large Language Models via Emotional Chain-of-Thought arXiv School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen
2024 Enhancing Empathetic Response Generation by Augmenting LLMs with Small-scale Empathetic Models arXiv Anonymous Review
2023 SoulChat: Improving LLMs’ Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations ACL Anthology Guangdong Provincial Key Laboratory of Human Digital Twin, School of EE.
2022 Chain-of-Thought Prompting Elicits Reasoning in Large Language Models arXiv Google Research, Brain Team
2023 METAAGENTS: SIMULATING INTERACTIONS OF HUMAN BEHAVIORS FOR LLM-BASED TASK-ORIENTED COORDINATION VIA COLLABORATIVE GENERATIVE AGENTS arXiv University of Cambridge
2023 Meta-control of Dialogue Systems Using Large Language Models arXiv -
2023 PLUG-AND-PLAY POLICY PLANNER FOR LARGE LANGUAGE MODEL POWERED DIALOGUE AGENTS arXiv NUS
2023 DiagGPT: An LLM-based Dialogue System with Automatic Topic Management for Goal-Oriented Dialogue OpenReview Anonymous Review
2023 Prompt-Based Monte-Carlo Tree Search for Goal-oriented Dialogue Policy Planning ACL Anthology Department of Computer Science, Columbia University, New York, NY
2023 ZERO-SHOT GOAL-DIRECTED DIALOGUE VIA RL ON IMAGINED CONVERSATIONS arXiv UC Berkeley
2023 Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals arXiv NUS, NTU, UCSB, UCL
2024 Bridging Human and AI Decision-Making with LLMs: The RAGADA Approach SciTePress Department of Computer Science and Engineering, Aalto University, Finland
2024 Personalized LLM Response Generation with Parameterized Memory Injection arXiv Worcester Polytechnic Institute, Worcester, USA
2023 Large language models show human-like content biases in transmission chain experiments PNAS Stanford University, Stanford, CA
2023 LLM-based Smart Reply (LSR): Enhancing Collaborative Performance with ChatGPT-mediated Smart Reply System arXiv Clemson University, USA
2023 Translating Natural Language to Planning Goals with Large-Language Models arXiv NUS

Datasets

Year Title Link
2024 Amazon Product Reviews Amazon Product Reviews
2008 IEMOCAP IEMOCAP
2017 DailyDialog DailyDialog
2020 EmpatheticDialogues EmpatheticDialogues
2022 PENS PENS
2023 SoulChatCorpus SoulChatCorpus
2023 MISC MISC
2022 MultiESC MultiESC
2022 GLHG GLHG
2022 PsyQA PsyQA
2023 efaqa efaqa
2021 GSM8K GSM8K
2021 CSQA CSQA
2021 StrategyQA StrategyQA
2022 SayCan SayCan
2021 CraisglistBargain CraigslistBargain
2022 CIMA CIMA
2021 DialoGLUE DialoGLUE
2021 PersuasionForGood PersuasionForGood
2020 MultiWoZ 2.1 MultiWoZ 2.1
2021 AmazonQA AmazonQA
2021 ALFRED-L ALFRED-L

Open-Source Codes

Year Paper Code
2023 Emotional Intelligence of Large Language Models GitHub
2024 EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis GitHub
2023 SoulChat: Improving LLMs’ Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations GitHub
2023 PLUG-AND-PLAY POLICY PLANNER FOR LARGE LANGUAGE MODEL POWERED DIALOGUE AGENTS GitHub
2023 Prompt-Based Monte-Carlo Tree Search for Goal-oriented Dialogue Policy Planning GitHub
2023 Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals GitHub

Citation

If you found this project helpful, please kindly cite our work:

@misc{advikbibek24,
  author = {Advik Raj Basani, Bibekananda Kundu},
  title = {EET-LLM: A Emotional, Empathetic and Task-Oriented LLM},
  year = {2024},
  howpublished = {\url{https://github.com/BitC3t/EET-LLM}}
}

Execution and Running

You may run this framework locally via the following command: streamlit run frontend.py

Other scripts in this repo deal with the several other components of the framework.

Authors

This project was created by Advik Raj Basani (f20221155@goa.bits-pilani.ac.in), under the guidance of Dr. Bibekananda Kundu.

License

This code is under the GNU-GPL v3.0.