Best Igor Melnyk Podcasts (2025)

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[QA] On the Theoretical Limitations of Embedding-Based Retrieval 8:55

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8d ago8:55

8:55

https://arxiv.org/abs//2508.21038 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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On the Theoretical Limitations of Embedding-Based Retrieval 23:17

8d ago23:17

23:17

https://arxiv.org/abs//2508.21038 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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[QA] Beyond GPT-5: Making LLMs Cheaper and Better via Performance–Efficiency Optimized Routing 7:03

17d ago7:03

7:03

Avengers-Pro is a test-time routing framework that optimizes performance and efficiency in LLMs, achieving state-of-the-art results by dynamically assigning queries to suitable models based on performance-efficiency scores. https://arxiv.org/abs//2508.12631 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers A…

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Beyond GPT-5: Making LLMs Cheaper and Better via Performance–Efficiency Optimized Routing 9:39

17d ago9:39

9:39

Avengers-Pro is a test-time routing framework that optimizes performance and efficiency in LLMs, achieving state-of-the-art results by dynamically assigning queries to suitable models based on performance-efficiency scores. https://arxiv.org/abs//2508.12631 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers A…

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[QA] Measuring the environmental impact of delivering AI at Google Scale 8:17

17d ago8:17

8:17

https://arxiv.org/abs//2508.15734 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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Measuring the environmental impact of delivering AI at Google Scale 22:09

17d ago22:09

22:09

https://arxiv.org/abs//2508.15734 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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[QA] Deep Think with Confidence 7:36

18d ago7:36

7:36

DeepConf enhances reasoning efficiency and performance in Large Language Models by filtering low-quality traces using internal confidence signals, achieving high accuracy and reduced token generation without extra training. https://arxiv.org/abs//2508.15260 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers A…

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Deep Think with Confidence 18:34

18d ago18:34

18:34

DeepConf enhances reasoning efficiency and performance in Large Language Models by filtering low-quality traces using internal confidence signals, achieving high accuracy and reduced token generation without extra training. https://arxiv.org/abs//2508.15260 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers A…

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[QA] Intern-S1: A Scientific Multimodal Foundation Model 8:33

18d ago8:33

8:33

Intern-S1 is a multimodal model that excels in scientific tasks, outperforming both open-source and closed-source models, and aims to bridge the gap in high-value scientific research. https://arxiv.org/abs//2508.15763 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.co…

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Intern-S1: A Scientific Multimodal Foundation Model 49:42

18d ago49:42

49:42

Intern-S1 is a multimodal model that excels in scientific tasks, outperforming both open-source and closed-source models, and aims to bridge the gap in high-value scientific research. https://arxiv.org/abs//2508.15763 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.co…

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[QA] Search-Time Data Contamination 7:02

20d ago7:02

7:02

The paper identifies search-time contamination (STC) in evaluating search-based LLM agents, revealing how data leaks compromise benchmark integrity and proposing best practices for trustworthy evaluations. https://arxiv.org/abs//2508.13180 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: htt…

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Search-Time Data Contamination 19:34

20d ago19:34

19:34

The paper identifies search-time contamination (STC) in evaluating search-based LLM agents, revealing how data leaks compromise benchmark integrity and proposing best practices for trustworthy evaluations. https://arxiv.org/abs//2508.13180 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: htt…

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[QA] Thyme: Think Beyond Images 7:20

21d ago7:20

7:20

This paper introduces Thyme, a multimodal model enhancing image manipulation and reasoning through executable code, achieving significant performance improvements in perception and reasoning tasks via innovative training strategies. https://arxiv.org/abs//2508.11630 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv…

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Thyme: Think Beyond Images 25:37

21d ago25:37

25:37

This paper introduces Thyme, a multimodal model enhancing image manipulation and reasoning through executable code, achieving significant performance improvements in perception and reasoning tasks via innovative training strategies. https://arxiv.org/abs//2508.11630 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv…

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[QA] SSRL: Self-Search Reinforcement Learning 7:39

21d ago7:39

7:39

The paper explores using large language models as efficient simulators for reinforcement learning tasks, introducing Self-Search RL to enhance internal knowledge utilization and reduce reliance on external search engines. https://arxiv.org/abs//2508.10874 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers App…

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SSRL: Self-Search Reinforcement Learning 32:32

21d ago32:32

32:32

The paper explores using large language models as efficient simulators for reinforcement learning tasks, introducing Self-Search RL to enhance internal knowledge utilization and reduce reliance on external search engines. https://arxiv.org/abs//2508.10874 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers App…

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[QA] Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs 7:19

26d ago7:19

7:19

This paper explores filtering dual-use topics from training data to enhance the tamper-resistance of open-weight AI systems, demonstrating significant improvements in adversarial fine-tuning resistance without degrading unrelated capabilities. https://arxiv.org/abs//2508.06601 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok…

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Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs 31:24

26d ago31:24

31:24

This paper explores filtering dual-use topics from training data to enhance the tamper-resistance of open-weight AI systems, demonstrating significant improvements in adversarial fine-tuning resistance without degrading unrelated capabilities. https://arxiv.org/abs//2508.06601 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok…

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[QA] Beyond Ten Turns: Unlocking Long-Horizon Agentic Search with Large-Scale Asynchronous RL 7:42

26d ago7:42

7:42

This paper presents ASearcher, an open-source project enhancing search agents' capabilities through scalable RL training, achieving significant performance improvements in complex query handling and long-horizon search tasks. https://arxiv.org/abs//2508.07976 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers…

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Beyond Ten Turns: Unlocking Long-Horizon Agentic Search with Large-Scale Asynchronous RL 28:28

26d ago28:28

28:28

This paper presents ASearcher, an open-source project enhancing search agents' capabilities through scalable RL training, achieving significant performance improvements in complex query handling and long-horizon search tasks. https://arxiv.org/abs//2508.07976 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers…

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[QA] Part 1: Tricks or Traps? A Deep Dive into RL for LLM Reasoning 7:57

28d ago7:57

7:57

https://arxiv.org/abs//2508.08221 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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Part 1: Tricks or Traps? A Deep Dive into RL for LLM Reasoning 25:13

28d ago25:13

25:13

https://arxiv.org/abs//2508.08221 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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[QA] MolmoAct: Action Reasoning Models that can Reason in Space 7:34

28d ago7:34

7:34

Please provide the abstract you would like me to summarize. https://arxiv.org/abs//2508.07917 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers…

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MolmoAct: Action Reasoning Models that can Reason in Space 36:14

28d ago36:14

36:14

https://arxiv.org/abs//2508.07917 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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[QA] On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification 7:59

1M ago7:59

7:59

We introduce Dynamic Fine-Tuning (DFT), enhancing Supervised Fine-Tuning for Large Language Models by improving generalization through dynamic gradient updates, outperforming standard methods across benchmarks. https://arxiv.org/abs//2508.05629 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts…

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On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification 21:20

1M ago21:20

21:20

We introduce Dynamic Fine-Tuning (DFT), enhancing Supervised Fine-Tuning for Large Language Models by improving generalization through dynamic gradient updates, outperforming standard methods across benchmarks. https://arxiv.org/abs//2508.05629 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts…

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[QA] R-Zero: Self-Evolving Reasoning LLM from Zero Data 7:18

1M ago7:18

7:18

R-Zero is an autonomous framework for training Large Language Models, generating its own data and improving reasoning capabilities without relying on human-curated tasks or labels. https://arxiv.org/abs//2508.05004 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/u…

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R-Zero: Self-Evolving Reasoning LLM from Zero Data 22:10

1M ago22:10

22:10

R-Zero is an autonomous framework for training Large Language Models, generating its own data and improving reasoning capabilities without relying on human-curated tasks or labels. https://arxiv.org/abs//2508.05004 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/u…

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[QA] Live Music Models 7:06

1M ago7:06

7:06

The paper presents live music models, including Magenta RealTime and Lyria RealTime, enabling real-time music generation with user control, outperforming existing models in quality and interactivity. https://arxiv.org/abs//2508.04651 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://p…

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Live Music Models 14:30

1M ago14:30

14:30

The paper presents live music models, including Magenta RealTime and Lyria RealTime, enabling real-time music generation with user control, outperforming existing models in quality and interactivity. https://arxiv.org/abs//2508.04651 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://p…

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[QA] Causal Reflection with Language Models 7:44

1M ago7:44

7:44

Causal Reflection introduces a framework for agents to model causality, enabling improved reasoning and self-correction, while utilizing LLMs for structured inference and natural language explanations. https://arxiv.org/abs//2508.04495 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https:/…

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Causal Reflection with Language Models 18:23

1M ago18:23

18:23

Causal Reflection introduces a framework for agents to model causality, enabling improved reasoning and self-correction, while utilizing LLMs for structured inference and natural language explanations. https://arxiv.org/abs//2508.04495 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https:/…

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[QA] SOTOPIA-RL: Reward Design for Social Intelligence 8:41

1M ago8:41

8:41

SOTOPIA-RL enhances reinforcement learning for social intelligence in language models by refining feedback into utterance-level, multi-dimensional rewards, improving goal completion in social tasks significantly. https://arxiv.org/abs//2508.03905 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcas…

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SOTOPIA-RL: Reward Design for Social Intelligence 16:31

1M ago16:31

16:31

SOTOPIA-RL enhances reinforcement learning for social intelligence in language models by refining feedback into utterance-level, multi-dimensional rewards, improving goal completion in social tasks significantly. https://arxiv.org/abs//2508.03905 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcas…

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[QA] Agent Lightning: Train ANY AI Agents with Reinforcement Learning 7:46

1M ago7:46

7:46

Agent Lightning is a flexible framework for RL-based training of Large Language Models, enabling seamless integration with various agents and improving performance across diverse tasks with minimal code changes. https://arxiv.org/abs//2508.03680 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcast…

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Agent Lightning: Train ANY AI Agents with Reinforcement Learning 42:04

1M ago42:04

42:04

Agent Lightning is a flexible framework for RL-based training of Large Language Models, enabling seamless integration with various agents and improving performance across diverse tasks with minimal code changes. https://arxiv.org/abs//2508.03680 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcast…

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[QA] Self-Questioning Language Models 7:10

1M ago7:10

7:10

The paper proposes Self-Questioning Language Models (SQLM), an approach where models generate and solve their own questions to improve reasoning skills without external data. https://arxiv.org/abs//2508.03682 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podc…

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Self-Questioning Language Models 15:35

1M ago15:35

15:35

The paper proposes Self-Questioning Language Models (SQLM), an approach where models generate and solve their own questions to improve reasoning skills without external data. https://arxiv.org/abs//2508.03682 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podc…

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[QA] Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens 8:21

1M ago8:21

8:21

https://arxiv.org/abs//2508.01191 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens 24:17

1M ago24:17

24:17

https://arxiv.org/abs//2508.01191 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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[QA] Fast and scalable retrosynthetic planning with a transformer neural network and speculative beam search 7:01

1M ago7:01

7:01

We propose a method to accelerate AI-based synthesis planning systems, enhancing their efficiency and throughput in drug design by reducing latency and improving molecule-solving capabilities. https://arxiv.org/abs//2508.01459 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts…

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Fast and scalable retrosynthetic planning with a transformer neural network and speculative beam search 13:51

1M ago13:51

13:51

We propose a method to accelerate AI-based synthesis planning systems, enhancing their efficiency and throughput in drug design by reducing latency and improving molecule-solving capabilities. https://arxiv.org/abs//2508.01459 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts…

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[QA] Embryology of a Language Model 7:44

1M ago7:44

7:44

This study uses UMAP on susceptibility matrices to visualize language model development, revealing known and novel structures, enhancing understanding of neural network organization and mechanisms. https://arxiv.org/abs//2508.00331 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://pod…

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Embryology of a Language Model 18:28

1M ago18:28

18:28

This study uses UMAP on susceptibility matrices to visualize language model development, revealing known and novel structures, enhancing understanding of neural network organization and mechanisms. https://arxiv.org/abs//2508.00331 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://pod…

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[QA] Beyond Fixed: Variable-Length Denoising for Diffusion Large Language Models 7:38

1M ago7:38

7:38

DAEDAL introduces a dynamic length expansion strategy for Diffusion Large Language Models, enhancing performance and efficiency by overcoming static length constraints during generation, outperforming fixed-length models. https://arxiv.org/abs//2508.00819 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers App…

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Beyond Fixed: Variable-Length Denoising for Diffusion Large Language Models 17:04

1M ago17:04

17:04

DAEDAL introduces a dynamic length expansion strategy for Diffusion Large Language Models, enhancing performance and efficiency by overcoming static length constraints during generation, outperforming fixed-length models. https://arxiv.org/abs//2508.00819 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers App…

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[QA] CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks 7:17

1M ago7:17

7:17

CoT-Self-Instruct generates high-quality synthetic data for LLM training by using Chain-of-Thought reasoning, outperforming existing datasets in both verifiable and non-verifiable tasks. https://arxiv.org/abs//2507.23751 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple…

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CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks 19:33

1M ago19:33

19:33

CoT-Self-Instruct generates high-quality synthetic data for LLM training by using Chain-of-Thought reasoning, outperforming existing datasets in both verifiable and non-verifiable tasks. https://arxiv.org/abs//2507.23751 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple…

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[QA] Meta CLIP 2: A Worldwide Scaling Recipe 8:00

1M ago8:00

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https://arxiv.org/abs//2507.22062 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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Meta CLIP 2: A Worldwide Scaling Recipe 20:39

1M ago20:39

20:39

https://arxiv.org/abs//2507.22062 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers