NeurIPS 2025 @ San Diego Convention Center
NeurIPS 2025 Call For Education Materials
NeurIPS 2025 Datasets & Benchmarks Track Call for Papers
Beyond Normalization: Rethinking the Partition Function as a Difficulty Scheduler for RLVR
arXiv:2602.12642v1 Announce Type: new Abstract: Reward-maximizing RL methods enhance the reasoning performance of LLMs, but often reduce the diversity among outputs. Recent works address this issue by adopting GFlowNets, training LLMs to match a target distribution while jointly learning its...
Curriculum Learning and Pseudo-Labeling Improve the Generalization of Multi-Label Arabic Dialect Identification Models
arXiv:2602.12937v1 Announce Type: new Abstract: Being modeled as a single-label classification task for a long time, recent work has argued that Arabic Dialect Identification (ADI) should be framed as a multi-label classification task. However, ADI remains constrained by the availability...
SCOPE: Selective Conformal Optimized Pairwise LLM Judging
arXiv:2602.13110v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used as judges to replace costly human preference labels in pairwise evaluation. Despite their practicality, LLM judges remain prone to miscalibration and systematic biases. This paper proposes SCOPE (Selective...
Vision Token Reduction via Attention-Driven Self-Compression for Efficient Multimodal Large Language Models
arXiv:2602.12618v1 Announce Type: cross Abstract: Multimodal Large Language Models (MLLMs) incur significant computational cost from processing numerous vision tokens through all LLM layers. Prior pruning methods operate either before the LLM, limiting generality due to diverse encoder-projector designs or within...
Coden: Efficient Temporal Graph Neural Networks for Continuous Prediction
arXiv:2602.12613v1 Announce Type: new Abstract: Temporal Graph Neural Networks (TGNNs) are pivotal in processing dynamic graphs. However, existing TGNNs primarily target one-time predictions for a given temporal span, whereas many practical applications require continuous predictions, that predictions are issued frequently...
Uncovering spatial tissue domains and cell types in spatial omics through cross-scale profiling of cellular and genomic interactions
arXiv:2602.12651v1 Announce Type: new Abstract: Cellular identity and function are linked to both their intrinsic genomic makeup and extrinsic spatial context within the tissue microenvironment. Spatial transcriptomics (ST) offers an unprecedented opportunity to study this, providing in situ gene expression...
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts - ACL Anthology
Episode 38: Non-intervention— past, present and future - EJIL: The Podcast!
The Jean Monnet Program – The NYU Institutes On The Park
The NYU Institutes On The Park
Episode 33: Owning the Future? International Law and Technology as a Critical Project - EJIL: The Podcast!
Academy of European Law
Fostering research in EU Law, international law, and human rights
ASML-Mistral AI: It's the Geopolitics, Stupid - AI Now Institute
Announcements Archives - AI Now Institute
Context and Agenda for the 2025 AI Action Summit
The AI Action Summit will take place in Paris from 10-11 February 2025. Here we list the agenda and key deliverables.
Proceedings - JURIX
This page lists the proceedings of JURIX conferences held since 1991. All proceedings until 2005 are available below. Later proceedings are accessible via the Frontiers of Artificial Intelligence and Applications series at the IOSPress booksonline portal. Direct links to the...
The world’s largest social network has more than 2 billion daily users, and is expanding rapidly around the world. Led by CEO Mark Zuckerberg and his chief operating officer, Sheryl Sandberg, Facebook undergirds much of the world’s communication online, both...