All Articles

Articles

Latest First Most Viewed Alphabetical

All Conference (29) Law Review (22) Academic (1198) Think Tank (1) News (232) Journal (18) Technology & AI (2) Business & Strategy (0) Finance & Economics (0) Legal & Compliance (0) Innovation & Research (0) International Affairs (0) Cybersecurity (0) Healthcare & Biotech (0)

Academic · 1 min

Colosseum: Auditing Collusion in Cooperative Multi-Agent Systems

arXiv:2602.15198v1 Announce Type: cross Abstract: Multi-agent systems, where LLM agents communicate through free-form language, enable sophisticated coordination for solving complex cooperative tasks. This surfaces a …

Mason Nakamura, Abhinav Kumar, Saswat Das, Sahar Abdelnabi, Saaduddin Mahmud, Ferdinando Fioretto, Shlomo Zilberstein, Eugene Bagdasarian

9 views Feb 19

Academic · 1 min

How to Train Your Long-Context Visual Document Model

arXiv:2602.15257v1 Announce Type: cross Abstract: We present the first comprehensive, large-scale study of training long-context vision language models up to 344K context, targeting long-document visual …

Austin Veselka

7 views Feb 19

Academic · 1 min

FrameRef: A Framing Dataset and Simulation Testbed for Modeling Bounded Rational Information Health

arXiv:2602.15273v1 Announce Type: cross Abstract: Information ecosystems increasingly shape how people internalize exposure to adverse digital experiences, raising concerns about the long-term consequences for information …

Victor De Lima, Jiqun Liu, Grace Hui Yang

7 views Feb 19

Academic · 1 min

The Information Geometry of Softmax: Probing and Steering

arXiv:2602.15293v1 Announce Type: cross Abstract: This paper concerns the question of how AI systems encode semantic structure into the geometric structure of their representation spaces. …

Kiho Park, Todd Nief, Yo Joong Choe, Victor Veitch

7 views Feb 19

Academic · 1 min

Prescriptive Scaling Reveals the Evolution of Language Model Capabilities

arXiv:2602.15327v1 Announce Type: cross Abstract: For deploying foundation models, practitioners increasingly need prescriptive scaling laws: given a pre training compute budget, what downstream accuracy is …

Hanlin Zhang, Jikai Jin, Vasilis Syrgkanis, Sham Kakade

4 views Feb 19

Academic · 1 min

Discovering Implicit Large Language Model Alignment Objectives

arXiv:2602.15338v1 Announce Type: cross Abstract: Large language model (LLM) alignment relies on complex reward signals that often obscure the specific behaviors being incentivized, creating critical …

Edward Chen, Sanmi Koyejo, Carlos Guestrin

7 views Feb 19

Academic · 1 min

Proactive Conversational Assistant for a Procedural Manual Task based on Audio and IMU

arXiv:2602.15707v1 Announce Type: cross Abstract: Real-time conversational assistants for procedural tasks often depend on video input, which can be computationally expensive and compromise user privacy. …

Rehana Mahfuz, Yinyi Guo, Erik Visser, Phanidhar Chinchili

7 views Feb 19

Academic · 1 min

Near-Optimal Sample Complexity for Online Constrained MDPs

arXiv:2602.15076v1 Announce Type: new Abstract: Safety is a fundamental challenge in reinforcement learning (RL), particularly in real-world applications such as autonomous driving, robotics, and healthcare. …

Chang Liu, Yunfan Li, Lin F. Yang

4 views Feb 19

Academic · 1 min

Hybrid Feature Learning with Time Series Embeddings for Equipment Anomaly Prediction

arXiv:2602.15089v1 Announce Type: new Abstract: In predictive maintenance of equipment, deep learning-based time series anomaly detection has garnered significant attention; however, pure deep learning approaches …

Takato Yasuno

15 views Feb 19

Academic · 1 min

Refine Now, Query Fast: A Decoupled Refinement Paradigm for Implicit Neural Fields

arXiv:2602.15155v1 Announce Type: new Abstract: Implicit Neural Representations (INRs) have emerged as promising surrogates for large 3D scientific simulations due to their ability to continuously …

Tianyu Xiong, Skylar Wurster, Han-Wei Shen

8 views Feb 19

Academic · 1 min

Learning Representations from Incomplete EHR Data with Dual-Masked Autoencoding

arXiv:2602.15159v1 Announce Type: new Abstract: Learning from electronic health records (EHRs) time series is challenging due to irregular sam- pling, heterogeneous missingness, and the resulting …

Xiao Xiang, David Restrepo, Hyewon Jeong, Yugang Jia, Leo Anthony Celi

7 views Feb 19

Academic · 1 min

Learning Data-Efficient and Generalizable Neural Operators via Fundamental Physics Knowledge

arXiv:2602.15184v1 Announce Type: new Abstract: Recent advances in scientific machine learning (SciML) have enabled neural operators (NOs) to serve as powerful surrogates for modeling the …

Siying Ma, Mehrdad M. Zadeh, Mauricio Soroco, Wuyang Chen, Jiguo Cao, Vijay Ganesh

5 views Feb 19

← Previous

108 109 110 111 112

Something extraordinary is coming.

Articles

Colosseum: Auditing Collusion in Cooperative Multi-Agent Systems

How to Train Your Long-Context Visual Document Model

FrameRef: A Framing Dataset and Simulation Testbed for Modeling Bounded Rational Information Health

The Information Geometry of Softmax: Probing and Steering

Prescriptive Scaling Reveals the Evolution of Language Model Capabilities

Discovering Implicit Large Language Model Alignment Objectives

Proactive Conversational Assistant for a Procedural Manual Task based on Audio and IMU

Near-Optimal Sample Complexity for Online Constrained MDPs

Hybrid Feature Learning with Time Series Embeddings for Equipment Anomaly Prediction

Refine Now, Query Fast: A Decoupled Refinement Paradigm for Implicit Neural Fields

Learning Representations from Incomplete EHR Data with Dual-Masked Autoencoding

Learning Data-Efficient and Generalizable Neural Operators via Fundamental Physics Knowledge

JCG, PC

HSOLLC Co., Ltd.