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Generative Recommendation: Towards Next-generation Recommender Paradigm

LongCodeZip: Compress Long Context for Code Language Models

Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training

Understanding and Enhancing the Transferability of Adversarial Examples

Time-Varying Graphs and Social Network Analysis: Temporal Indicators and Metrics

A Survey on Hough Transform, Theory, Techniques and Applications

Fast Distributed Inference Serving for Large Language Models

Data Mining and Its Applications for Knowledge Management: A Literature Reviewfrom 2007 to 2012

AmpleGCG: Learning a Universal and Transferable Generative Model of AdversarialSuffixes for Jailbreaking Both Open and Closed LL

Fastformer: Additive Attention Can Be All You Need

Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-$1$ Updates

Potential Networking Applications of Global Positioning Systems (GPS)

Shifting AI Efficiency From Model-Centric to Data-Centric Compression

Rethinking floating point for deep learning

LotteryFL: Personalized and Communication-Efficient Federated Learning withLottery Ticket Hypothesis on Non-IID Datasets

Simple Distributed Weighted Matchings

A Unified RGB-T Saliency Detection Benchmark: Dataset, Baselines, Analysis and ANovel Approach

Optimization for deep learning: theory and algorithms

qHiPSTER: The Quantum High Performance Software Testing Environment

Randomized sketches for kernels: Fast and optimal non-parametric regression

Improving Variational Auto-Encoders using Householder Flow

Scalable Zero-shot Entity Linking with Dense Entity Retrieval

Best-first Model Merging for Hidden Markov Model Induction

Deep Learning on FPGAs: Past, Present, and Future