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Arxiv Papers

Running out of time to catch up with new arXiv papers? We take the most impactful papers and present them as convenient podcasts. If you're a visual learner, we offer these papers in an engaging video format. Our service fills the gap between overly brief paper summaries and time-consuming full paper reads. You gain academic insights in a time-efficient, digestible format. Code behind this work: https://github.com/imelnyk/ArxivPapers

[QA] Llama-Nemotron: Efficient Reasoning Models

7 mins; May 04, 2025

Llama-Nemotron: Efficient Reasoning Models

26 mins; May 04, 2025

[QA] Evaluating Frontier Models for Stealth and Situational Awareness

7 mins; May 04, 2025

Evaluating Frontier Models for Stealth and Situational Awareness

37 mins; May 04, 2025

[QA] Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report

7 mins; May 03, 2025

Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report

17 mins; May 03, 2025

[QA] COMPACT: COMPositional Atomic-to-Complex Visual Capability Tuning

8 mins; May 03, 2025

COMPACT: COMPositional Atomic-to-Complex Visual Capability Tuning

16 mins; May 03, 2025

[QA] DeepCritic: Deliberate Critique with Large Language Models

7 mins; May 03, 2025

DeepCritic: Deliberate Critique with Large Language Models

17 mins; May 03, 2025

[QA] Direct Motion Models for Assessing Generated Videos

7 mins; May 03, 2025

Direct Motion Models for Assessing Generated Videos

17 mins; May 03, 2025

[QA] MINERVA: Evaluating Complex Video Reasoning

7 mins; May 01, 2025

MINERVA: Evaluating Complex Video Reasoning

20 mins; May 01, 2025

[QA] T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

7 mins; May 01, 2025

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

22 mins; May 01, 2025

[QA] The Leaderboard Illusion

7 mins; May 01, 2025

The Leaderboard Illusion

27 mins; May 01, 2025

[QA] Phi-4-Mini-Reasoning: Exploring the Limits of Small Reasoning Language Models in Math

7 mins; May 01, 2025

Phi-4-Mini-Reasoning: Exploring the Limits of Small Reasoning Language Models in Math

17 mins; May 01, 2025

[QA] Reinforcement Learning for Reasoning in Large Language Models with One Training Example

9 mins; April 30, 2025

Reinforcement Learning for Reasoning in Large Language Models with One Training Example

29 mins; April 30, 2025

[QA] ReasonIR: Training Retrievers for Reasoning Tasks

8 mins; April 30, 2025

ReasonIR: Training Retrievers for Reasoning Tasks

24 mins; April 30, 2025

[QA] Scaling Laws For Scalable Oversight

8 mins; April 27, 2025

Scaling Laws For Scalable Oversight

27 mins; April 27, 2025

[QA] Think, Prune, Train, Improve: Scaling Reasoning Without Scaling Models

7 mins; April 27, 2025

Think, Prune, Train, Improve: Scaling Reasoning Without Scaling Models

16 mins; April 27, 2025

[QA] Reasoning LLMs Are Just Efficient Samplers: RL Training Elicits No Transcending Capacity

8 mins; April 26, 2025

Reasoning LLMs Are Just Efficient Samplers: RL Training Elicits No Transcending Capacity

23 mins; April 26, 2025

[QA] Learning Adaptive Parallel Reasoning with Language Models

7 mins; April 26, 2025

Learning Adaptive Parallel Reasoning with Language Models

21 mins; April 26, 2025

[QA] Boosting Generative Image Modeling via Joint Image-Feature Synthesis

7 mins; April 26, 2025

Boosting Generative Image Modeling via Joint Image-Feature Synthesis

18 mins; April 26, 2025

[QA] Step1X-Edit: A Practical Framework for General Image Editing

8 mins; April 25, 2025

Step1X-Edit: A Practical Framework for General Image Editing

15 mins; April 25, 2025

[QA] Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models

7 mins; April 25, 2025

Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models

24 mins; April 25, 2025

[QA] Exploring How LLMs Capture and Represent Domain-Specific Knowledge

7 mins; April 23, 2025

Exploring How LLMs Capture and Represent Domain-Specific Knowledge

19 mins; April 23, 2025

[QA] I-Con: A Unifying Framework for Representation Learning

7 mins; April 23, 2025

I-Con: A Unifying Framework for Representation Learning

16 mins; April 23, 2025

[QA] Tina: Tiny Reasoning Models via LoRA

7 mins; April 22, 2025

Tina: Tiny Reasoning Models via LoRA

17 mins; April 22, 2025

[QA] LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities

8 mins; April 22, 2025

LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities

15 mins; April 22, 2025

[QA] UFO2: The Desktop AgentOS

8 mins; April 22, 2025

UFO2: The Desktop AgentOS

57 mins; April 22, 2025

[QA] NEMOTRON-CROSSTHINK: Scaling Self-Learning beyond Math Reasoning

8 mins; April 21, 2025

NEMOTRON-CROSSTHINK: Scaling Self-Learning beyond Math Reasoning

31 mins; April 21, 2025

[QA] Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning

7 mins; April 20, 2025

Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning

7 mins; April 20, 2025

[QA] Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model

7 mins; April 20, 2025

Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model

16 mins; April 20, 2025

[QA] Reasoning Models Can Be Effective Without Thinking

7 mins; April 19, 2025

Reasoning Models Can Be Effective Without Thinking

20 mins; April 19, 2025

[QA] A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce

8 mins; April 19, 2025

A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce

14 mins; April 19, 2025

[QA] CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training

7 mins; April 18, 2025

CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training

20 mins; April 18, 2025

[QA] Antidistillation Sampling

7 mins; April 18, 2025

Antidistillation Sampling

10 mins; April 18, 2025

[QA] Position: The Most Expensive Part of an LLM should be its Training Data

7 mins; April 17, 2025

Position: The Most Expensive Part of an LLM should be its Training Data

20 mins; April 17, 2025

[QA] Activated LoRA: Fine-tuned LLMs for Intrinsics

8 mins; April 17, 2025

Activated LoRA: Fine-tuned LLMs for Intrinsics

18 mins; April 17, 2025

[QA] COLORBENCH: Can VLMs See and Understand the Colorful World?

7 mins; April 17, 2025

COLORBENCH: Can VLMs See and Understand the Colorful World?

20 mins; April 17, 2025

[QA] ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

8 mins; April 17, 2025

ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

14 mins; April 17, 2025

[QA] Looking beyond the next token

7 mins; April 16, 2025

Looking beyond the next token

16 mins; April 16, 2025

[QA] How to Predict Best Pretraining Data with Small Experiments

8 mins; April 16, 2025

How to Predict Best Pretraining Data with Small Experiments

20 mins; April 16, 2025

[QA] Have we unified image generation and understanding yet? An empirical study of GPT-4o's image generation ability

7 mins; April 14, 2025

Have we unified image generation and understanding yet? An empirical study of GPT-4o's image generation ability

7 mins; April 14, 2025

[QA] DUMP: Automated Distribution-Level Curriculum Learning for RL-based LLM Post-training

7 mins; April 14, 2025

DUMP: Automated Distribution-Level Curriculum Learning for RL-based LLM Post-training

10 mins; April 14, 2025

[QA] Steering CLIP's vision transformer with sparse autoencoders

8 mins; April 14, 2025

Steering CLIP's vision transformer with sparse autoencoders

17 mins; April 14, 2025

[QA] Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning

7 mins; April 14, 2025

Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning

18 mins; April 14, 2025

[QA] Rethinking Reflection in Pre-Training

8 mins; April 12, 2025

Rethinking Reflection in Pre-Training

17 mins; April 12, 2025

[QA] Self-Steering Language Models

7 mins; April 12, 2025

Self-Steering Language Models

8 mins; April 12, 2025

[QA] Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?

7 mins; April 11, 2025

Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?

16 mins; April 11, 2025

DDT: Decoupled Diffusion Transformer

8 mins; April 11, 2025

DDT: Decoupled Diffusion Transformer

19 mins; April 11, 2025

[QA] Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory

7 mins; April 11, 2025

Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory

15 mins; April 11, 2025

[QA] Scaling Laws for Native Multimodal Models

7 mins; April 11, 2025

Scaling Laws for Native Multimodal Models

18 mins; April 11, 2025

[QA] OLMOTRACE: Tracing Language Model Outputs Back to Trillions of Training Tokens

7 mins; April 09, 2025

OLMOTRACE: Tracing Language Model Outputs Back to Trillions of Training Tokens

18 mins; April 09, 2025

[QA] Wanting to be Understood

7 mins; April 09, 2025

Wanting to be Understood

16 mins; April 09, 2025

[QA] A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility

7 mins; April 09, 2025

A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility

19 mins; April 09, 2025

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