Top Conference Papers

Behavioral Homophily in Social Media via Inverse Reinforcement Learning: A Reddit Case Study

Mechanism Design for Large Language Models

Stable-Sketch: A Versatile Sketch for Accurate, Fast, Web-Scale Data Stream Processing

Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization

How to Write to SSDs

Demystifying and Improving Lazy Promotion in Cache Eviction

Garnet: A Next-Generation Cache-Store for Accelerating Applications and Services

The LDBC Financial Benchmark: Transaction Workload

The Key to Efective UDF Optimization: Before Inlining, First Perform Outlining

The UDFBench Benchmark for General-purpose UDF Queries

Diva: Dynamic Range Filter for Var-Length Keys and Queries

AnyBlox: A Framework for Self-Decoding Datasets

OmniSketch: Eficient Multi-Dimensional High-Velocity Stream Analytics with Arbitrary Predicates

BOSS - An Architecture for Database Kernel Composition

Superposition Yields Robust Neural Scaling

Optimal Mistake Bounds for Transductive Online Learning

Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Why Diffusion Models Don't Memorize: The Role of Implicit Dynamical Regularization in Training

Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free

1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities

Not All Tokens Are What You Need for Pretraining

Guiding a Diffusion Model with a Bad Version of Itself

Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators

REL-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance

PeerQA: A Scientific Question Answering Dataset from Peer Reviews

NLI under the Microscope: What Atomic Hypothesis Decomposition Reveals

Multi³Hate: Multimodal, Multilingual, and Multicultural Hate Speech Detection with Vision–Language Models

Learning vs Retrieval: The Role of In-Context Examples in Regression with Large Language Models