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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] Babel: Open Multilingual Large Language Models Serving Over 90% of Global Speakers

6 mins; March 07, 2025

Babel: Open Multilingual Large Language Models Serving Over 90% of Global Speakers

15 mins; March 07, 2025

[QA] L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

8 mins; March 07, 2025

L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

15 mins; March 07, 2025

[QA] PokéChamp: an Expert-level Minimax Language Agent

8 mins; March 07, 2025

PokéChamp: an Expert-level Minimax Language Agent

26 mins; March 07, 2025

[QA] Token-Efficient Long Video Understanding for Multimodal LLMs

7 mins; March 07, 2025

Token-Efficient Long Video Understanding for Multimodal LLMs

26 mins; March 07, 2025

[QA] Position: Model Collapse Does Not Mean What You Think

7 mins; March 05, 2025

Position: Model Collapse Does Not Mean What You Think

21 mins; March 05, 2025

[QA] Towards Understanding Distilled Reasoning Models: A Representational Approach

7 mins; March 05, 2025

Towards Understanding Distilled Reasoning Models: A Representational Approach

10 mins; March 05, 2025

[QA] Weak-to-Strong Generalization Even in Random Feature Networks, Provably

6 mins; March 05, 2025

Weak-to-Strong Generalization Even in Random Feature Networks, Provably

15 mins; March 05, 2025

[QA] Beyond Cosine Decay: On the effectiveness of Infinite Learning Rate Schedule for Continual Pre-training

7 mins; March 05, 2025

Beyond Cosine Decay: On the effectiveness of Infinite Learning Rate Schedule for Continual Pre-training

14 mins; March 05, 2025

[QA] Chain of Draft: Thinking Faster by Writing Less

7 mins; March 03, 2025

Chain of Draft: Thinking Faster by Writing Less

10 mins; March 03, 2025

[QA] Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids

7 mins; March 03, 2025

Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids

24 mins; March 03, 2025

[QA] Implicit Search via Discrete Diffusion: A Study on Chess

8 mins; March 01, 2025

Implicit Search via Discrete Diffusion: A Study on Chess

23 mins; March 01, 2025

[QA] Avat3r: Large Animatable Gaussian Reconstruction Model for High-fidelity 3D Head Avatars

7 mins; March 01, 2025

Avat3r: Large Animatable Gaussian Reconstruction Model for High-fidelity 3D Head Avatars

21 mins; March 01, 2025

[QA] LightThinker: Thinking Step-by-Step Compression

7 mins; February 28, 2025

LightThinker: Thinking Step-by-Step Compression

16 mins; February 28, 2025

[QA] LLM-Microscope: Uncovering the Hidden Role of Punctuation in Context Memory of Transformers

8 mins; February 28, 2025

LLM-Microscope: Uncovering the Hidden Role of Punctuation in Context Memory of Transformers

10 mins; February 28, 2025

[QA] Self-rewarding correction for mathematical reasoning

40 mins; February 27, 2025

Self-rewarding correction for mathematical reasoning

40 mins; February 27, 2025

[QA] I Know What I Don't Know: Improving Model Cascades Through Confidence Tuning

8 mins; February 26, 2025

I Know What I Don't Know: Improving Model Cascades Through Confidence Tuning

19 mins; February 26, 2025

[QA] Can Language Models Falsify? Evaluating Algorithmic Reasoning with Counterexample Creation

7 mins; February 26, 2025

Can Language Models Falsify? Evaluating Algorithmic Reasoning with Counterexample Creation

15 mins; February 26, 2025

[QA] DeepSeek vs. ChatGPT: A Comparative Study for Scientific Computing and Scientific Machine Learning Tasks

8 mins; February 25, 2025

DeepSeek vs. ChatGPT: A Comparative Study for Scientific Computing and Scientific Machine Learning Tasks

15 mins; February 25, 2025

[QA] Yes, Q-learning Helps Offline In-Context RL

8 mins; February 25, 2025

Yes, Q-learning Helps Offline In-Context RL

26 mins; February 25, 2025

[QA] Fractal Generative Models

7 mins; February 24, 2025

Fractal Generative Models

17 mins; February 24, 2025

[QA] Improving the Scaling Laws of Synthetic Data with Deliberate Practice

6 mins; February 23, 2025

Improving the Scaling Laws of Synthetic Data with Deliberate Practice

19 mins; February 23, 2025

[QA] Idiosyncrasies in Large Language Models

7 mins; February 22, 2025

Idiosyncrasies in Large Language Models

20 mins; February 22, 2025

[QA] SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

7 mins; February 21, 2025

SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

20 mins; February 21, 2025

[QA] Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks

7 mins; February 20, 2025

Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks

27 mins; February 20, 2025

[QA] RocketKV: Accelerating Long-Context LLM Inference via Two-Stage KV Cache Compression

7 mins; February 20, 2025

RocketKV: Accelerating Long-Context LLM Inference via Two-Stage KV Cache Compression

20 mins; February 20, 2025

[QA] Autellix: An Efficient Serving Engine for LLM Agents as General Programs

8 mins; February 19, 2025

Autellix: An Efficient Serving Engine for LLM Agents as General Programs

35 mins; February 19, 2025

[QA] Small Models Struggle to Learn from Strong Reasoners

6 mins; February 19, 2025

Small Models Struggle to Learn from Strong Reasoners

13 mins; February 19, 2025

[QA] TokenSkip: Controllable Chain-of-Thought Compression in LLMs

7 mins; February 18, 2025

TokenSkip: Controllable Chain-of-Thought Compression in LLMs

18 mins; February 18, 2025

[QA] Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

7 mins; February 18, 2025

Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

26 mins; February 18, 2025

[QA] (How) Can Transformers Predict Pseudo-Random Numbers?

7 mins; February 16, 2025

(How) Can Transformers Predict Pseudo-Random Numbers?

21 mins; February 16, 2025

[QA] Do Large Language Models Reason Causally Like Us? Even Better?

8 mins; February 16, 2025

Do Large Language Models Reason Causally Like Us? Even Better?

7 mins; February 16, 2025

[QA] Eidetic Learning: an Efficient and Provable Solution to Catastrophic Forgetting

7 mins; February 15, 2025

Eidetic Learning: an Efficient and Provable Solution to Catastrophic Forgetting

15 mins; February 15, 2025

[QA] Fino1: On the Transferability of Reasoning‑Enhanced LLMs to Finance

8 mins; February 15, 2025

Fino1: On the Transferability of Reasoning‑Enhanced LLMs to Finance

27 mins; February 15, 2025

[QA] The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models

8 mins; February 14, 2025

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models

22 mins; February 14, 2025

[QA] SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models

7 mins; February 13, 2025

SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models

19 mins; February 13, 2025

[QA] LLM Pretraining with Continuous Concepts

7 mins; February 12, 2025

LLM Pretraining with Continuous Concepts

17 mins; February 12, 2025

[QA] Distillation Scaling Laws

7 mins; February 12, 2025

Distillation Scaling Laws

17 mins; February 12, 2025

[QA] Competitive Programming with Large Reasoning Models

7 mins; February 11, 2025

Competitive Programming with Large Reasoning Models

20 mins; February 11, 2025

[QA] Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling

7 mins; February 11, 2025

Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling

21 mins; February 11, 2025

[QA] DeepCrossAttention: Supercharging Transformer Residual Connections

7 mins; February 11, 2025

DeepCrossAttention: Supercharging Transformer Residual Connections

21 mins; February 11, 2025

[QA] Matryoshka Quantization

7 mins; February 11, 2025

Matryoshka Quantization

23 mins; February 11, 2025

[QA] When One LLM Drools, Multi-LLM Collaboration Rules

8 mins; February 10, 2025

When One LLM Drools, Multi-LLM Collaboration Rules

17 mins; February 10, 2025

[QA] Self-Regulation and Requesting Interventions

7 mins; February 10, 2025

Self-Regulation and Requesting Interventions

23 mins; February 10, 2025

[QA] Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

7 mins; February 10, 2025

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

31 mins; February 10, 2025

[QA] Value-Based Deep RL Scales Predictably

8 mins; February 08, 2025

Value-Based Deep RL Scales Predictably

17 mins; February 08, 2025

[QA] Demystifying Long Chain-of-Thought Reasoning in LLMs

7 mins; February 08, 2025

Demystifying Long Chain-of-Thought Reasoning in LLMs

34 mins; February 08, 2025

[QA] ULTRAIF: Advancing Instruction Following from the Wild

7 mins; February 07, 2025

ULTRAIF: Advancing Instruction Following from the Wild

19 mins; February 07, 2025

[QA] Analyze Feature Flow to Enhance Interpretation and Steering in Language Models

7 mins; February 07, 2025

Analyze Feature Flow to Enhance Interpretation and Steering in Language Models

19 mins; February 07, 2025

[QA] Examining Two Hop Reasoning Through Information Content Scaling

8 mins; February 06, 2025

Examining Two Hop Reasoning Through Information Content Scaling

16 mins; February 06, 2025

[QA] Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2

8 mins; February 06, 2025

Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2

23 mins; February 06, 2025

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