Special Issues

Raj Reddy
Turing Award Laureate
Talk Title: Fireside Chat with Raj Reddy, Turing Award Winner

Yi Ma
University of Hong Kong
Talk Title: The Past, Present, and Future of Artificial Intelligence: from black-box to white-box, from open-loop to closed-loop

Mark D. Hill
University of Wisconsin-Madison
Talk Title: In Computer Architecture, We Don’t Change the Questions, We Change the Answers

Jason Cong
University of California, Los Angeles
Talk Title: Deep Learning Meets Chip Design: Driving Next-Gen Efficiency and Innovation
Regular Series

Yuhong Zhong
Columbia University
Talk Title: XRP: In-Kernel Storage Functions with eBPF

Neil Gong
Duke University
Talk Title: Big Security Issues of Big Foundation Models

Tao Yu
University of Hong Kong
Talk Title: Building Natural Language Interfaces through Grounding Language Models into Executable

Jieyu Zhao
University of Southern California
Talk Title: Building Accountable NLP Models: on Social Bias Detection and Mitigation

Song Han
Massachusetts Institute of Technology
Talk Title: SmoothQuant and AWQ for LLM quantization.

Diyi Yang
Stanford University
Talk Title: Challenge and Progress towards Socially Responsible NLP

Srijan Kumar
Georgia Tech
Talk Title: The Robustness and Reliability of Large Language and Multimodal Models

Haiyi Zhu
Carnegie Mellon University
Talk Title: Harmonizing Humanity and Technology: Integrating Human Values in AI-Supported Social Systems

Dongkuan Xu
North Carolina State University
Talk Title: Sculpting the Future of Collective Growth in Collaborative AI: Gentopia.AI Meets ReWOO

Yuan-Sen Ding
Australian National University & Ohio State University
Talk Title: From Stars to Syntax: Leveraging Deep Learning and Large Language Models for Astronomical Insights

Hancheng Cao
Stanford University
Talk Title: Can large language models provide useful feedback on research papers? A large-scale empirical analysis

Weixin Liang
Stanford University
Talk Title: Can large language models provide useful feedback on research papers? A large-scale empirical analysis

Bo Li
University of Chicago & University of Illinois at Urbana-Champaign
Talk Title: Assessing Trustworthiness and Risks of Generative Models

William Wang
University of California, Santa Barbara
Talk Title: Principles of Reasoning: Compositional and Collaborative Generative AI Design

Zsolt Kira
Georgia Institute of Technology
Talk Title: Computer Vision in the era of Foundation Models: Progress Made and Open Challenge

Quanquan Gu
University of California, Los Angeles
Talk Title: Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models

Max Kreminski
Midjourney & Santa Clara University
Talk Title: Creative AI: Lensing the Imagination

Ji Zhang
Carnegie Mellon University
Talk Title: Autonomous Exploration and Navigation, Full Autonomy System, and Beyond

Peng Cui
Tsinghua University
Talk Title: Generalization and Evaluation Perspectives on the Trustworthiness of Artificial Intelligence

Freda Shi
University of Waterloo
Talk Title: Learning Language Structures through Grounding and Beyond

Horald Soh
National University of Singapore
Talk Title: Bridging Physical and Social Intelligence with Generative Embodied AI

Fengli Xu
Tsinghua University
Talk Title: Designing Efficient Reasoning and Automatic Optimization Frameworks for LLM Agents

Beidi Chen
Carnegie Mellon University
Talk Title: MagicPIG & Factor: Rethinking the Efficiency and Capabilities of Long-Context LLMs

Abhishek Gupta
University of Washington
Talk Title: Real-to-Sim-to-Real: A Scalable Technique for Robot Learning from Off-Domain Data

Christina Lee Yu
Cornell University
Talk Title: Causal Inference in the Presence of Network Interference with Low-Order Interactions

Natasha Jaques
University of Washington
Talk Title: Social Reinforcement Learning for pluralistic alignment and human-AI interaction

Christopher Matthew De Sa
Cornell University
Talk Title: Example Selection and Post-Training Quantization

Fei Fang
Carnegie Mellon University
Talk Title: Tackling Societal Challenges with Multi-Agent Systems: Bridging Theory and Practice

Qianxiao Li
National University of Singapore
Talk Title: Learning, approximation and control

Hao Zhang
University of California, San Diego
Talk Title: Fast Video Generation with Attention Tile

Angela Yao
National University of Singapore
Talk Title: Text, Touch and Trajectories: Reconstructing 3D Humans with 3T’s

Zongqing Lu
Peking University
Talk Title: Scaling Humanoid Robot Learning with Internet Videos

Scott Sanner
University of Toronto
Talk Title: Verifiable, debuggable, and repairable formal reasoning with LLMs

Amy X. Zhang
University of Washington
Talk Title: Steering AI Agents: From Individual to Societal Scale

Ranjay Krishna
University of Washington
Talk Title: Prioritizing Perception in Multimodal Language Models

Georgia Gkioxari
California Institute of Technology
Talk Title: Scaling 3D Data to enable 3D models

Yakun Sophia Shao
University of California, Berkeley
Talk Title: From Algorithms to Silicon: Accelerating Full-Stack Co-Design for the AI Era