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A Global Research Conference to showcase research and contribution in the field of AGI

Researchers joining us from

Microsoft Research
Stanford University
Cornell University
carnegie mellon university
oxford
georgia institute of technology

About the Summit

AGI Leap Summit aims to bring together the best minds across academia and industry on a single forum to discuss the latest research and breakthroughs.

Leap Tracks

Reasoning and intelligence

AI safety, security & performance

Agent based systems

Multimodality

Event Schedule

Research Presentations

Artificial Intelligence Index Report 2023

Nestor Maslej

Stanford University, HAI

Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models

Erfan Shayegani

University of California

Can LLM-Generated Misinformation Be Detected?

Canyu Chen

Illinois Institute of Technology

Dynamic On-Demand Crowdshipping Using Constrained and Heuristics Embedded Double Dueling Deep Q-Network

Theja Tulabandhula

University of Illinois Chicago

Enhancing LLM Intelligence with ARM-RAG: Auxiliary Rationale Memory for Retrieval Augmented Generation

Eric Melz

SearchStax

FAITHSCORE: Evaluating Hallucinations in Large Vision-Language Models.

Liqiang Jing

University of Texas at Dallas

A Language for Large-Scale Collaboration in Economics: A Streamlined Computational Representation of Financial Models

Jorge

Jorge M. Faleiro Jr.

Optera Analytics

Autonomous GIS: the next-generation AI-powered GIS

Zhenlong Li

Zhenlong Li

Pennsylvania State University

GeoLocator: a location-integrated large multimodal model for inferringgeo-privacy

Yifan Yang

University of Southern California

Full Automation of Goal-driven LLM Dialog Threadswith And-Or Recursors and Refiner Oracles

Paul Tarau

University of North Texas

The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4

Lijun

Lijun Wu

Microsoft Research

Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks

Mehrdad Saberi

Mehrdad Saberi

University of Maryland

Investigating Emergent Goal-Like Behaviour in Large Language Models Using Experimental Economics

Steve Phelps

Steve Phelps

Mesonomics

LORD: Low Rank Decomposition Of Monolingual Code LLMs For One-Shot Compression

Ayush Kaushal

Ayush Kaushal

Nolano.ai

SAFE Artificial Intelligence in Finance

Paolo Giudici

Università degli Studi di Pavia

The concept of SP-Multiple-Alignment as the ‘double helix’ of intelligence

Gerry Wolff

Gerry Wolff

Cognition Research

 AdANNS: A Framework for Adaptive Semantic Search

Aniket Rege (1)

Aniket Rege

University of Wisconsin-Madison

Unlocking AI in Healthcare: The Power of Geometric Unified Learning (GUL) Technology

Weiqing Gu

Weiqing Gu

Dasion.ai

Freely Long-Thinking Transformer (FraiLT)

Akbay Tabak

Akbay Tabak

Bytro Labs GmbH

Concepts is All You Need: A More Direct Path to AGI

Peter Voss

Peter Voss

Aigo.ai


On Feynman-Kac training of partial Bayesian neural networks

Zheng Zhao

Uppsala University

SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Dahyun Kim (1)

Dahyun Kim

Upstage.ai


FinGPT: Open-Source Financial Large Language Models

Bruce Yang

Bruce Yang

AI4Finance-Foundation

LLM Harmony: Multi-Agent Communication for Problem Solving

Sumedh Rasal

Sumedh Rasal

HERE Technologies

RecallM: An Adaptable Memory Mechanism with Temporal Understanding for Large Language Models

Brandon Kynoch

Brandon Kynoch

The University of Texas at Austin


SpeechGPT-Gen: Scaling Chain-of-Information Speech Generation

Dong Zhang

Dong Zhang

Fudan University

Theory of Mind abilities of Large Language Models in Human-Robot Interaction : An Illusion?h Generation

Mudit Verma

Mudit Verma

Arizona State University

VIM: Probing Multimodal Large Language Models for Visual Embedded Instruction Following

Yujie Lu

Yujie Lu

UC Santa Barbara


Prompting Frameworks for Large Language Models: A Survey

Xiaoxia LIU

Xiaoxia LIU

Zhejiang University

Extracting human interpretable structure-property relationships in chemistry using XAI and large language models

Geemi Wellawatte

Geemi Wellawatte

École polytechnique fédérale de Lausanne

Analyzing Intentional Behavior in Autonomous Agents under Uncertainty

Filip Cano

Filip Cano

Technische Universität Graz

Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs

Stepan Tytarenko

Stepan Tytarenko

Fordham University

Large Language Models for Semantic Monitoring of Corporate Disclosures: A Case Study on Korea’s Top 50 KOSPI Companies

Junwon Sung

Junwon Sung

University at Buffalo

CRUXEval: Code Reasoning, Understanding, and Execution Evaluation

Alex Gu

Alex Gu

Massachusetts Institute of Technology

A Trade-off Analysis of Replacing Proprietary LLMs with Open Source SLMs in Production

Yiping Kang

Jaseci Labs, University of Michigan

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

Kaitao Song

Microsoft Research

RGB-X Object Detection via Scene-Specific Fusion Modules

Sri Aditya Deevi

Indian Space Research Organisation

Action-GPT: Leveraging Large-scale Language Models for Improved and Generalized Action Generation

Kalakonda Sai Shashank

International Institute of Information Technology, Hyderabad

Considering Caring as a Safeguard in Artificial Intelligence

Russell Suereth

Salve Regina University

HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination & Visual Illusion in Large Vision-Language Models

Tianrui Guan

University of Maryland

Revolutionizing Pharma: Unveiling the AI and LLM Trends in the Pharmaceutical Industry

Yu Han

University of Oxford

E&V: Prompting Large Language Models to Perform Static Analysis by Pseudo-code Execution and Verification

Yu Hao

University of California, Riverside

LLMs and Finetuning: Benchmarking cross-domain performance for hate speech detection

Ahmad Nasir

Independent Researcher, IIT Delhi

Hominis – Designing Bias mitigating human-centered foundation models

Tarry Singh

Real AI Inc

Hominis – Designing Bias mitigating human-centered foundation models

Narendra Patwardhan

Real AI Inc

Revolutionizing Mental Health Care through LangChain: A Journey with a Large Language Model

Aditi Singh

Aditi Singh

Cleveland State University

Concept-Guided Prompt Learning for Generalization in Vision-Language Models

Yi Zhang

Southern University of Sicence and Technology

Taking control: Policies to address extinction risks from advanced AI

Akash Wasil

Akash Wasil

Control AI

Balancing Autonomy and Alignment: A Multi-Dimensional Taxonomy for Autonomous LLM-powered Multi-Agent Architectures

Thorsten Händler

Thorsten Händler

Ferdinand Porsche Mobile University (FERNFH)

Voice2Action: Language Models as Agent for Efficient Real-Time Interaction in Virtual Reality

Yang Su

Yang Su

Cornell University