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Ömer Kaya

andthattoo
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https://twitter.com/andthatto

AI & ML interests

Synthetic data, verifiable information retrieval

Recent Activity

updated a model 3 days ago
driaforall/Tiny-Agent-a-1.5B
liked a model 3 days ago
microsoft/OmniParser-v2.0
reacted to Kseniase's post with 🔥 4 days ago
8 New Applications of Test-Time Scaling We've noticed a huge interest in test-time scaling (TTS), so we decided to explore this concept further. Test-time compute (TTC) refers to the amount of computational power used by an AI model when generating a response. Many researchers are now focused on scaling TTC, as it enables slow, deep "thinking" and step-by-step reasoning, which improves overall models' performance. Here are 8 fresh studies on test-time scaling: 1. https://huggingface.co/papers/2502.05171 Introduces an LM that scales TTC by reasoning in latent space instead of generating more tokens with no special training. Here, a recurrent block to processes information iteratively. 2. https://huggingface.co/papers/2502.04728 Shows how TTS is applied to enhance model's Planning Domain Definition Language (PDDL) reasoning capabilities, which can be used to generate a symbolic world model. 3. https://huggingface.co/papers/2502.06703 Analyzes optimal TTS strategies and shows how small models can outperform much larger ones. 4. https://huggingface.co/papers/2502.04128 Shows how TTS improves expressiveness, timbre consistency and accuracy in speech synthesis with Llasa framework. It also dives into benefits of scaling train-time compute. 5. https://huggingface.co/papers/2502.07154 Suggests a modified training loss for better reasoning of LLMs when scaling TTC. 6. https://huggingface.co/papers/2502.05078 Unifies the strengths of chain, tree, and graph paradigms into one framework that expands reasoning only on necessary subproblems. 7. https://huggingface.co/papers/2502.01839 Explores scaling trends of self-verification and how to improve its capabilities with TTC. 8. https://huggingface.co/papers/2501.14723 Explores how scaling serial compute (iterations) and parallel compute (trajectories), can improve accuracy in real-world software engineering issues. Also, explore our article about TTS for more -> https://huggingface.co/blog/Kseniase/testtimecompute
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Dria Pythonic Agent Benchmark (DPAB)

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