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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] ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models

7 mins; June 02, 2025

ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models

23 mins; June 02, 2025

[QA] Are Reasoning Models More Prone to Hallucination?

7 mins; May 30, 2025

Are Reasoning Models More Prone to Hallucination?

20 mins; May 30, 2025

[QA] How does Transformer Learn Implicit Reasoning?

8 mins; May 30, 2025

How does Transformer Learn Implicit Reasoning?

23 mins; May 30, 2025

[QA] Let Me Think! A Long Chain-of-Thought Can Be Worth Exponentially Many Short Ones

7 mins; May 29, 2025

Let Me Think! A Long Chain-of-Thought Can Be Worth Exponentially Many Short Ones

24 mins; May 29, 2025

[QA] Maximizing Confidence Alone Improves Reasoning

7 mins; May 29, 2025

Maximizing Confidence Alone Improves Reasoning

13 mins; May 29, 2025

[QA] Hardware-Efficient Attention for Fast Decoding

7 mins; May 28, 2025

Hardware-Efficient Attention for Fast Decoding

30 mins; May 28, 2025

[QA] Reinforcing General Reasoning without Verifiers

7 mins; May 28, 2025

Reinforcing General Reasoning without Verifiers

17 mins; May 28, 2025

[QA] ENIGMATA: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles

8 mins; May 27, 2025

ENIGMATA: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles

23 mins; May 27, 2025

[QA] Temporal Sampling for Forgotten Reasoning in LLMs

7 mins; May 27, 2025

Temporal Sampling for Forgotten Reasoning in LLMs

10 mins; May 27, 2025

[QA] Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems

10 mins; May 26, 2025

Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems

17 mins; May 26, 2025

[QA] Generative Distribution Embeddings

7 mins; May 26, 2025

Generative Distribution Embeddings

26 mins; May 26, 2025

[QA] General-Reasoner: Advancing LLM Reasoning Across All Domains

7 mins; May 24, 2025

General-Reasoner: Advancing LLM Reasoning Across All Domains

17 mins; May 24, 2025

[QA] MMaDA: Multimodal Large Diffusion Language Models

8 mins; May 24, 2025

MMaDA: Multimodal Large Diffusion Language Models

16 mins; May 24, 2025

[QA] Harnessing the Universal Geometry of Embeddings

7 mins; May 23, 2025

Harnessing the Universal Geometry of Embeddings

15 mins; May 23, 2025

[QA] Panda: A pretrained forecast model for universal representation of chaotic dynamics

7 mins; May 23, 2025

Panda: A pretrained forecast model for universal representation of chaotic dynamics

15 mins; May 23, 2025

[QA] Pre-training Large Memory Language Models with Internal and External Knowledge

7 mins; May 22, 2025

Pre-training Large Memory Language Models with Internal and External Knowledge

20 mins; May 22, 2025

[QA] Understanding Prompt Tuning and In-Context Learning via Meta-Learning height2pt

7 mins; May 22, 2025

Understanding Prompt Tuning and In-Context Learning via Meta-Learning height2pt

21 mins; May 22, 2025

[QA] Set-LLM: A Permutation-Invariant LLM

7 mins; May 21, 2025

Set-LLM: A Permutation-Invariant LLM

23 mins; May 21, 2025

[QA] On the creation of narrow AI: hierarchy and nonlocality of neural network skills

7 mins; May 21, 2025

On the creation of narrow AI: hierarchy and nonlocality of neural network skills

18 mins; May 21, 2025

[QA] Do Language Models Use Their Depth Efficiently?

7 mins; May 20, 2025

Do Language Models Use Their Depth Efficiently?

20 mins; May 20, 2025

[QA] Latent Flow Transformer

8 mins; May 20, 2025

Latent Flow Transformer

18 mins; May 20, 2025

[QA] Enhancing Latent Computation in Transformers with Latent Tokens

8 mins; May 19, 2025

Enhancing Latent Computation in Transformers with Latent Tokens

21 mins; May 19, 2025

[QA] Why Knowledge Distillation Works in Generative Models: A Minimal Working Explanation

8 mins; May 19, 2025

Why Knowledge Distillation Works in Generative Models: A Minimal Working Explanation

20 mins; May 19, 2025

[QA] Visual Planning: Let's Think Only with Images

7 mins; May 18, 2025

Visual Planning: Let's Think Only with Images

18 mins; May 18, 2025

[QA] Relational Graph Transformer

9 mins; May 18, 2025

Relational Graph Transformer

18 mins; May 18, 2025

[QA] System Prompt Optimization with Meta-Learning

7 mins; May 17, 2025

System Prompt Optimization with Meta-Learning

21 mins; May 17, 2025

[QA] Revealing economic facts: LLMs know more than they say1

7 mins; May 16, 2025

Revealing economic facts: LLMs know more than they say1

20 mins; May 16, 2025

[QA] Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures

8 mins; May 16, 2025

Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures

43 mins; May 16, 2025

[QA] Beyond `Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models

7 mins; May 15, 2025

Beyond `Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models

14 mins; May 15, 2025

[QA] The COT ENCYCLOPEDIA: Analyzing, Predicting, and Controlling how a Reasoning Model will Think

7 mins; May 15, 2025

The COT ENCYCLOPEDIA: Analyzing, Predicting, and Controlling how a Reasoning Model will Think

16 mins; May 15, 2025

[QA] Adversarial Suffix Filtering: a Defense Pipeline for LLMs

7 mins; May 14, 2025

Adversarial Suffix Filtering: a Defense Pipeline for LLMs

14 mins; May 14, 2025

[QA] Self Rewarding Self Improving

7 mins; May 14, 2025

Self Rewarding Self Improving

21 mins; May 14, 2025

[QA] AM‑Thinking‑v1: Advancing the Frontier of Reasoning at 32B Scale

7 mins; May 14, 2025

AM‑Thinking‑v1: Advancing the Frontier of Reasoning at 32B Scale

24 mins; May 14, 2025

[QA] Putting It All into Context: Simplifying Agents with LCLMs

8 mins; May 14, 2025

Putting It All into Context: Simplifying Agents with LCLMs

23 mins; May 14, 2025

[QA] Learning from Peers in Reasoning Models

8 mins; May 13, 2025

Learning from Peers in Reasoning Models

23 mins; May 13, 2025

[QA] MiMo: Unlocking the Reasoning Potential of Language Model – From Pretraining to Posttraining

7 mins; May 13, 2025

MiMo: Unlocking the Reasoning Potential of Language Model – From Pretraining to Posttraining

34 mins; May 13, 2025

[QA] Insertion Language Models: Sequence Generation with Arbitrary-Position Insertions

7 mins; May 12, 2025

Insertion Language Models: Sequence Generation with Arbitrary-Position Insertions

20 mins; May 12, 2025

[QA] Neuro-Symbolic Concepts

10 mins; May 12, 2025

Neuro-Symbolic Concepts

17 mins; May 12, 2025

[QA] Towards Quantifying the Hessian Structure of Neural Networks

8 mins; May 10, 2025

Towards Quantifying the Hessian Structure of Neural Networks

23 mins; May 10, 2025

[QA] Crosslingual Reasoning through Test-Time Scaling

7 mins; May 10, 2025

Crosslingual Reasoning through Test-Time Scaling

29 mins; May 10, 2025

[QA] Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models

9 mins; May 09, 2025

Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models

31 mins; May 09, 2025

[QA] Generating Physically Stable and Buildable LEGO Designs from Text

8 mins; May 09, 2025

Generating Physically Stable and Buildable LEGO Designs from Text

18 mins; May 09, 2025

[QA] Reasoning Models Don't Always Say What They Think

7 mins; May 09, 2025

Reasoning Models Don't Always Say What They Think

20 mins; May 09, 2025

[QA] Scalable Chain of Thoughts via Elastic Reasoning

8 mins; May 09, 2025

Scalable Chain of Thoughts via Elastic Reasoning

20 mins; May 09, 2025

[QA] ZEROSEARCH: Incentivize the Search Capability of LLMs without Searching

9 mins; May 07, 2025

ZEROSEARCH: Incentivize the Search Capability of LLMs without Searching

19 mins; May 07, 2025

[QA] Cer-Eval: Certifiable and Cost-Efficient Evaluation Framework for LLMs

8 mins; May 07, 2025

Cer-Eval: Certifiable and Cost-Efficient Evaluation Framework for LLMs

22 mins; May 07, 2025

[QA] Absolute Zero: Reinforced Self-play Reasoning with Zero Data

7 mins; May 06, 2025

Absolute Zero: Reinforced Self-play Reasoning with Zero Data

27 mins; May 06, 2025

[QA] Teaching Models to Understand (but not Generate) High-risk Data

7 mins; May 06, 2025

Teaching Models to Understand (but not Generate) High-risk Data

16 mins; May 06, 2025

[QA] RM-R1: Reward Modeling as Reasoning

7 mins; May 05, 2025

RM-R1: Reward Modeling as Reasoning

25 mins; May 05, 2025

[QA] Practical Efficiency of Muon for Pretraining

7 mins; May 05, 2025

Practical Efficiency of Muon for Pretraining

23 mins; May 05, 2025

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