All episodes

3DMEM-BENCH: Long-Term Memory for Embodied AI

Fine-Tuning Large Language Models: A Comprehensive Guide

Maximizing Confidence Alone Improves Reasoning

Critical Points of Random Neural Networks

BAGEL: Vision-Language Model for Visual Generation

Incentivizing Knowledge Acquisition in LLMs via RL

RL for Image Generation: DPO vs GRPO

Let Androids Dream Framework

SmolVLM: Compact and Efficient Vision-Language Models

Federated Learning: Privacy-Preserving Collaborative Intelligence Survey

Compressed Federated Learning of Tiny Language Models

Mobile Intelligence Language Understanding Benchmark

AI-RAN: Converging Communications and Computing

Ollama LLM Fine-Tuning Methods

Customizing LLMs for High-Performance VHDL Design

Adaptively Weighted Nearest Neighbors for Matrix Completion

SAD Neural Networks, Divergent Gradient Flows, and Optimality

WavReward: Evaluating Spoken Dialogue Models

BLIP3-o Unified Multimodal Models

CodePDE: LLM-Driven PDE Solver Generation

Online Learning Neural Networks: Bounds and Characterization

UAV Visual Object Search in City Space

Benchmark for Auto-bidding Task

Reinforcement Learning with Human Feedback Improvements

T2I-R1: Reinforcing Image Generation with Bi-level CoT

Pretraining for Heterogeneous Treatment Effects

AI Jekyll-Hyde Tipping Point Formula

Personalizing Multimodal Models with Yo'Chameleon

Current Advances and Applications of AI, April 2025 Overview

Min-Form Credit Assignment for Process Reward Model Reasoning

Language Models for Automated Patient Record Linkage

Parameter-Efficient Continual Learning: A Survey

Building an Agent: LLM, Loop, and Tokens

Uncertainty-Guided Lung Tumor Segmentation via Coarse-to-Fine Refinement

Complex Instruction-Based Image Editing Benchmark

Sleep-Time Compute: Pre-computation for Efficient LLM Inference

Miras: A Framework for Designing Deep Learning Architectures

RUKA: A Compact and Affordable Humanoid Robotic Hand

GenEAva: Expressive Cartoon Avatar Generation via Diffusion

VCR-Bench: Video Chain-of-Thought Reasoning Evaluation

Automating LLM Hallucination Detection with Reasoning

Llama 4: Natively Multimodal AI Innovation

Self-Steering Language Models via Probabilistic Programs

Amazon Q Developer: AI for Data Science in SageMaker Canvas

Adaptive SVD for Continual Learning in Large Language Models

Llama 4: Natively Multimodal AI Innovation

UniOcc: Unified Occupancy Prediction and Forecasting Benchmark

Graph Counterfactual XAI via Latent Space Traversal

Continual Forgetting for Pre-trained Vision Models

Age of Updates for Adaptive OFDM in Autonomous Vehicles

Video Generation Improvement via Human Preference Alignment

AnimeGamer: Infinite Anime Life Simulation via MLLM

NoProp: Learning Neural Networks Without Backpropagation

ACPBench Hard: Generative Planning Reasoning Tasks

Efficient Training of Large Language Models

Uni4D Dynamic 4D Modeling from Casual Video

KDTalker: Audio-Driven Talking Portraits via Implicit Keypoint Diffusion

OLMo 2: Fully Open Language Model Advancements

Stable-SCore Stable 3D Shape Correspondence via Registration

ProjectEval: Benchmarking Project-Level Code Generation by LLM Agents

Embodied Agent Confidence Elicitation in Dynamic Multimodal Environments

VLMs Playing StarCraft II: A Multimodal Decision Benchmark

M-Attack: Simple Yet Effective Attacks Against Strong Vision-Language Models

Deep Learning for Inverse Design of Radio-Frequency Circuits

Coding with LLMs A Developer's Guide by Simon Willison

Vision-R1 Reasoning in Multimodal Large Language Models via RL

OWL: Optimized Multi-Agent Assistance for Task Automation

Generalized Kullback-Leibler Divergence Loss for Enhanced Learning

Unsloth: A Practical Guide to LLM Fine-Tuning

Introducing the New PyTorch Landscape

Deep Learning for Inverse Design of Radio-Frequency Circuits

Distill Any Depth: Monocular Depth Estimation via Distillation

Economical Inference: DeepSeek's Multi-Head Latent Attention in LLMs

SWE-RL: Reinforcement Learning for LLMs on Software Evolution

Optimizing Quantum Circuit Mapping with SAT Solving at Amazon

LM Studio SDK: Python and TypeScript APIs for Local AI

GameFi AI Agents, DeFi, and Decentralized Virtual Ecosystems

LLMS Play Among Us

AN/UYK-1: Stored Logic Multiple-Purpose Digital Computer

Training Code Generation Models for Self-Debugging

LLMs in The Chameleon Game: Strategic Information Dynamics

GameFi: AI Agents, DeFi, and Decentralized Virtual Ecosystems

Training Code Generation Models for Self-Debugging

Accelerating Generative AI with PyTorch: Fast Inference with SAM2

V-HOP Visuo-Haptic 6D Object Pose Tracking

FACTR Force-Attending Curriculum Training for Contact-Rich Policy Learning

Language Model Training for Social Deduction in Among Us

Depth Pro Sharp Monocular Metric Depth Estimation

MME-CoT Benchmarking Chain-of-Thought in Large Multimodal Models

Unsloth Efficient GRPO for Long-Context Reasoning Models

CoT-Valve Tunable Length Control for Chain-of-Thought Reasoning

Implementing Transformers from Scratch

Reflection and Refraction

MixGCN Scalable Graph Convolutional Network Training

Open-Source AI The Imperative for Transparency

Forge Reasoning API and Nous Chat Advancing LLM Inference

Gradient Equilibrium in Online Learning

Encoder-Free 3D Large Multimodal Models An Investigation

Intel and PyTorch Empowering Generative AI

Iterative Prompting and LLM Code Optimization