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From the 1 of 37 linked papers with an AI index.

activity
20242026
collaborators

37 papers

cs.DB2026

PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models

Vignesh Kothapalli, Rishabh Ranjan, Valter Hudovernik +4

The paper presents PLUREL, a lightweight framework for generating synthetic multi-table relational databases, enabling the study of scaling laws in relational foundation models and…

cs.LG2026

Deciphering Fingerprints of 3D Molecular Surfaces for Accurate Epitope Prediction

Fang Wu, Weihao Xuan, Jure Leskovec +2

Molecular surfaces encode the geometric and physicochemical patterns that determine antibody-antigen recognition, central to epitope prediction. However, existing methods rely on s…

cs.LG2026

M*: A Modular, Extensible, Serving System for Multimodal Models

Atindra Jha, Naomi Sagan, Keisuke Kamahori +9

We are entering a new era of composite model architectures that integrate diverse components such as vision encoders, language backbones, diffusion and flow heads, audio codecs, ac…

cs.CL2026

Diffusion Language Model Parallel Decoding via Product-of-Experts Bridge

Juntong Shi, Brian L. Trippe, Jure Leskovec +2

Diffusion language models (DLMs) offer substantial speed advantages through parallel decoding, but the lack of token dependencies limits generation quality compared to autoregressi…

q-bio.BM2026

SurfDesign: Effective Protein Design on Molecular Surfaces

Fang Wu, Shuting Jin, Xiangru Tang +5

Protein function is largely determined by molecular surface geometry and physicochemical complementarity, yet most protein design methods condition only on backbone structure. We i…

cs.LG2026

Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards

Fang Wu, Aaron Tu, Weihao Xuan +21

Reinforcement learning with verifiable rewards (RLVR) is a practical, scalable way to improve large language models on math, code, and other structured tasks. However, we argue tha…