Paper Presentation Details

You can either collaborate with a team or present individually. The choice of topic is entirely up to you.

  • Introduction and Background – What is the general impact and background of the topic?
  • Motivation and Problem – What is the core research problem, and why do we study it?
  • Related Work and Challenges – How did previous works address this problem, and what are some of the challenges?
  • Proposed Solutions/Methods and Rationale – What are the proposed methods/techniques, and why are they proposed? What specific reasons that solving this problem would require these proposed(1) methods/techniques？
  • Experimental Setting, Results, and Analysis – What experiments are designed to verify the proposed method? How are results being discussed and analyzed? Are there any interesting findings?
  • Conclusion and Future Work

Spatial Temporal Mining

PowerGraph: A power grid benchmark dataset for graph neural networks [Paper]
Synergizing Spatial Optimization with Large Language Models for Open-Domain Urban Itinerary Planning [Paper]
Spatial, temporal, and content analysis of Twitter for wildfire hazards [Paper]
A review of machine learning applications in wildfire science and management [Paper]
Spatiotemporal prediction of fine particulate matter during the 2008 northern California wildfires using machine learning [Paper]
Near real-time wildfire progression monitoring with Sentinel-1 SAR time series and deep learning [Paper]
Rapid spatio-temporal flood prediction and uncertainty quantification using a deep learning method [Paper]

Social Network Analysis

Magic: Investigation of large language model powered multi-agent in cognition, adaptability, rationality and collaboration [Paper]
Multi-Agent, Human-Agent and Beyond: A Survey on Cooperation in Social Dilemmas [Paper]
S3: Social-network Simulation System with Large Language Model-Empowered Agents [Paper]

Document Mining

BioInformatics Mining

Cybersecurity Mining

Trustworthy Issue

ROSE Doesn’t Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding [Paper]
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing [Paper]

Politician Issue

A Large-scale Empirical Study on Large Language Models for Election Prediction [Paper]
Political-LLM: Large Language Models in Political Science [Paper]
Towards More Accurate US Presidential Election via Multi-step Reasoning with Large Language Models [Paper]

Data-quality Issue

Diversity Issue

LLM and Agent

LLMs can’t plan, but can help planning in LLM-modulo frameworks [Paper]
DepsRAG: Towards Agentic Reasoning and Planning for Software Dependency Management [Paper]
HYDRA: Model Factorization Framework for Black-Box LLM Personalization [Paper]
Multi-LLM Collaborative Caption Generation in Scientific Documents [Paper]
Agent Laboratory: Using LLM Agents as Research Assistants [Paper]
FILL IN THE BLANK: EXPLORING AND ENHANCING LLM CAPABILITIES FOR BACKWARD REASONING IN MATH WORD PROBLEMS [Paper]