AI4Research @ IJCAI 2024: Home

Overview

Although AI has brought transformative changes to various aspects of life, its impact on researchers unfolds in a nuanced manner. On the one hand, AI assists in various research disciplines, such as Social Science, Finance, Medicine, GeoScience, Math, etc., significantly expediting academic processes. However, it's important to note that these AI programs are still guided by human researchers. On the flip side, the AI era poses challenges for researchers. While it streamlines certain tasks, researchers find themselves still having to undergo years of professional training, extensive paper reading to stay current, quicker ideation due to fast-paced advancements, and a growing number of papers to review. It appears that AI is pushing them to work harder and be more productive. In contemplating the future, the question looms: Can AI potentially replace researchers as autonomous scientists?

Call for Papers

This workshop aims to bring together researchers from different disciplines who are interested in how AI is made use of to assist, accelerate, and even automate their research activities. As such, the workshop welcomes and covers a wide range of topics, including (non-exclusively):

AI for Social Science, such as Psychology, Criminology, etc.
AI for Natural Science, such as Physics, Chemistry, Medicine, Geography, Biology, Material, etc.
AI for Math
AI for Finance
AI automates research, such as automatic data analysis, AI-assisted experiment design, streamlining research processes, etc.
AI as Autonomous Scientists: identifying new research questions, conducting experiments, and analyzing results
AI for academic services, such as automatic paper review, AI for academic writing, scientific paper recommendations, etc.
Scientific document modeling and understanding
Challenges and ethical considerations in AI-driven academic research

Paper format & proceedings: Please use the official IJCAI format to submit anonymous manuscripts (double-blind paper review), and we accept papers of pages >=4 (reference and appendix excluded).

Accepted papers may opt for either in-person presentation or forgo the opportunity for an onsite presentation.
Accepted papers can choose to be published in Springer Nature proceedings or not.

Camera-ready submission:

Plan to publish at Springer Nature: Please use the official Springer Nature format to prepare your paper.
Otherwise, send us the URL of your online accessible version; any format is acceptable.

Best Paper Awards: We will set the "Best Paper Award".

Openreview Submission Link

Contact: AI4Research2024@gmail.com

Important Dates

May 20: Paper submission deadline
June 2: Notification of acceptance
June 15: Camera-ready deadline
Aug. 5: Workshop

All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”).

Keynote Speakers

Prof. Heng Ji
UIUC
& Amazon Scholar
Topic: AI for Drug Discovery

Prof. Zhouhan Lin
Shanghai Jiao
Tong University
Topic: AI for GeoScience

Prof. Zachary Ives
Department Chair
University of Pennsylvania
Topic: AI for Database

Prof. Marija Slavkovik
Department Chair
University of Bergen
Topic: AI Ethics

Schedule

Attention!!! 9am-5pm (full day workshop). 10:30-11:00 (coffee); 12:30-14:00 (lunch break); 15:30-16:00 (coffee)

Session	Korea time	Session chair
Opening speech	09:00-09:10 am (10 mins)	Wenpeng Yin
Keynote by Prof. Marija Slavkovik AI as A Tool, AI as A Master and Some Ethics in Between	09:10-09:50 am (40mins)	Lifu Huang
Invited Paper Talk Speculative Exploration on the Concept of Artificial Agents Conducting Autonomous Research (presenter: Shiro Takagi)	09:50-10:10 am (20mins)	Janice Ahn
Invited Paper Talk Large Language Models for Automated Open-domain Scientific Hypotheses Discovery (presenter: Zonglin Yang)	10:10-10:30 am (20mins)	Janice Ahn
Coffee break	10:30-11:00 am (30mins)
Keynote by Prof. Zachary Ives AI-Accelerated Discovery through Dataset Augmentation	11:00-11:40 am (40mins)	Wenpeng Yin
Best Paper Talk Step-Back Profiling: Distilling User History for Personalized Scientific Writing	11:40-12:10 pm (30mins)	Janice Ahn
Invited Paper Talk ExpeL: LLM Agents Are Experiential Learners (presenter: Andrew Zhao)	12:10-12:30 pm (20mins)	Janice Ahn
Lunch break	12:30-14:00 pm (90mins)
Keynote by Prof. Zhouhan Lin TBD	14:00-14:40 am (40mins)	Wenpeng Yin
Invited Paper Talk LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing (presenter: Wenpeng Yin)	14:40-15:00 am (20mins)	Janice Ahn
Paper talk 6 TBD	15:00-15:20 am (20mins)	Janice Ahn
Coffee break	15:30-16:00 am (30mins)
Poster session Large Language Models for Automated Open-domain Scientific Hypotheses Discovery Autonomous AI Assistant for Semiconductor Electron Micrograph Analysis: Instruction-Tuning Small-Scale Language-and-Vision Assistant for Enterprise Adoption in Low-Resource Settings OceanGPT: A Large Language Model for Ocean Science Tasks Educational Research Trends of the Use of Gaze Learning Data through Topic Modeling and Scientometric Analysis Scientific Opinion Summarization: Paper Meta-review Generation Dataset, Methods, and Evaluation Knowledge Graph in Astronomical Research with Large Language Models: Quantifying Driving Forces in Interdisciplinary Scientific Discovery Step-Back Profiling: Distilling User Interactions for Personalized Scientific Writing InstructCell: A Multimodal Cell Language Model for Single-cell Analysis Curriculum reinforcement learning for tokamak control Generative Inverse Design of Crystal Structures via Diffusion Models with Transformers Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data Enhancing Psychotherapy Counseling: A Data Augmentation Pipeline Leveraging Large Language Models for Counseling Conversations AutoEncoder-Based Anomaly Detection for CMS Data Quality Monitoring Sentiment trading with large language models	16:00-16:50 am (50mins)
Closing Remarks	16:50-17:00 pm (10 mins)	Wenpeng Yin