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Stories from April 11, 2024 (UTC)
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1. Fine-Tuning Increases LLM Vulnerabilities and Risk (arxiv.org)
59 points by theoffice on Apr 11, 2024 | hide | past | pdf | 33 comments
2. Leave No Context Behind: Efficient Infinite Context Transformers (arxiv.org)
39 points by tosh on Apr 11, 2024 | hide | past | pdf | 4 comments
3. Autonomous LLM agents with human-out-of-loop (arxiv.org)
14 points by shishirpatil on Apr 11, 2024 | hide | past | pdf | 8 comments
4. LLM2Vec: Large Language Models Are Powerful Text Encoders (arxiv.org)
5 points by hoxmark on Apr 11, 2024 | hide | past | pdf | discuss
5. Google: Efficient Infinite Context Transformers with Infini-Attention (arxiv.org)
4 points by modeless on Apr 11, 2024 | hide | past | pdf | discuss
6. Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets (arxiv.org)
3 points by tosh on Apr 11, 2024 | hide | past | pdf | discuss
7. Symbolic AI at Silver Medal, Boosts AlphaGeometry to Beat Gold at IMO Geometry (arxiv.org)
3 points by shivensinha4 on Apr 11, 2024 | hide | past | pdf | discuss
8. Understanding the Planning of LLM Agents (arxiv.org)
3 points by gwintrob on Apr 11, 2024 | hide | past | pdf | discuss
9. Accelerating Recommender Model Training by Dynamically Skipping Stale Embeddings (arxiv.org)
2 points by PaulHoule on Apr 11, 2024 | hide | past | pdf | discuss
10. Revision Distance as a Metric for Text Evaluation in LLMs-Based Applications (arxiv.org)
2 points by zhiQ on Apr 11, 2024 | hide | past | pdf | discuss
11. Training LLMs over Neurally Compressed Text (arxiv.org)
2 points by PaulHoule on Apr 11, 2024 | hide | past | pdf | discuss
12. 94% on Cifar-10 in 3.29 Seconds on a Single GPU (arxiv.org)
2 points by alexahn on Apr 11, 2024 | hide | past | pdf | discuss
13. Scaling Laws for Data Filtering – Data Curation Cannot Be Compute Agnostic (arxiv.org)
1 point by kmdupree on Apr 11, 2024 | hide | past | pdf | discuss
14. Large Language Models for Aspect-Based Sentiment Analysis (arxiv.org)
1 point by r_singh on Apr 11, 2024 | hide | past | pdf | discuss