Daily Paper Cast (Test) cover art

All Episodes

Daily Paper Cast (Test) — 25 episodes

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Title
1

Scaling Agents via Continual Pre-training

2

WebWeaver: Structuring Web-Scale Evidence with Dynamic Outlines for Open-Ended Deep Research

3

WebWeaver: Structuring Web-Scale Evidence with Dynamic Outlines for Open-Ended Deep Research

4

Scaling Agents via Continual Pre-training

5

OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling

6

UI-S1: Advancing GUI Automation via Semi-online Reinforcement Learning

7

One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation

8

Survey on Evaluation of LLM-based Agents

9

VisionZip: Longer is Better but Not Necessary in Vision Language Models

10

Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion

11

CLEAR: Character Unlearning in Textual and Visual Modalities

12

AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions

13

CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation

14

BitStack: Fine-Grained Size Control for Compressed Large Language Models in Variable Memory Environments

15

SelfCodeAlign: Self-Alignment for Code Generation

16

AAAR-1.0: Assessing AI's Potential to Assist Research

17

Learning Video Representations without Natural Videos

18

BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays

19

Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders

20

What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective

21

What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective

22

Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders

23

ROCKET-1: Master Open-World Interaction with Visual-Temporal Context Prompting

24

CompassJudger-1: All-in-one Judge Model Helps Model Evaluation and Evolution

25

Knowing When to Ask - Bridging Large Language Models and Data