Llms
[P] LLM with a 9-line seed + 5 rounds of contrastive feedback outperforms Optuna on 96% of benchmarks
submitted by /u/se4u [link] [comments]
Reddit - Machine Learning
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1 min
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AI Startups
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![[2602.10541] FastLSQ: A Framework for One-Shot PDE Solving](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Ai Startups
[2602.10541] FastLSQ: A Framework for One-Shot PDE Solving
Abstract page for arXiv paper 2602.10541: FastLSQ: A Framework for One-Shot PDE Solving
arXiv - Machine Learning
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[2511.09396] Multimodal Large Language Models for Low-Resource Languages: A Case Study for Basque
Abstract page for arXiv paper 2511.09396: Multimodal Large Language Models for Low-Resource Languages: A Case Study for Basque
arXiv - AI
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[2510.26840] SpotIt: Evaluating Text-to-SQL Evaluation with Formal Verification
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Abstract page for arXiv paper 2412.13091: LMUnit: Fine-grained Evaluation with Natural Language Unit Tests
arXiv - AI
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arXiv - Machine Learning
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arXiv - AI
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arXiv - AI
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arXiv - AI
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Abstract page for arXiv paper 2502.01534: Preference Leakage: A Contamination Problem in LLM-as-a-judge
arXiv - AI
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[2412.06531] Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation
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