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Defeating Prompt Injections by Design
Large Language Models (LLMs) are increasingly deployed in agentic systems that interact with an untrusted environment. However, LLM agents are vulnerable to prompt injection attacks when handling untrusted data. In this paper we propose CaMeL, a robust defense that creates a protective system layer around the LLM, securing it even when underlying models are susceptible to attacks. To operate, CaMe
Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity
Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity We conduct a randomized controlled trial (RCT) to understand how early-2025 AI tools affect the productivity of experienced open-source developers working on their own repositories. Surprisingly, we find that when developers use AI tools, they take 19% longer than without—AI makes them slower. We view this resu
BioCLIP: A Vision Foundation Model for the Tree of Life
BioCLIP correctly labels this Clitocybe fragrans from the Fungi task. BioCLIP correctly labels this Jasmine leaf (Jasminum) from the Medicinal Leaf task. BioCLIP correctly labels this Rhizosolenia from the Plankton task. BioCLIP performs well on a variety of image sources, like this microscope image. CLIP mislabels this Russula ochroleuca as "the prince" (Agaricus augustus), which isn't even in th
Language Models Learn to Mislead Humans via RLHF
Jiaxin Wen1, Ruiqi Zhong2, Akbir Khan3, Ethan Perez3, Jacob Steinhardt2 Minlie Huang1, Samuel R. Bowman3​434{}^{3~{}4}, He He4, Shi Feng4,5 1Tsinghua University 2Univeristy of California, Berkeley 3Anthropic 4New York University 5George Washington University Abstract Language models (LMs) can produce errors that are hard to detect for humans, especially when the task is complex. RLHF, the most pop
DexGen
Dexterity Gen: Foundation Controller for Unprecedented Dexterity Zhao-Heng Yin1,2, Changhao Wang2, Luis Pineda2, Francois Hogan2, Krishna Bodduluri2, Akash Sharma2, Patrick Lancaster2, Ishita Prasad2, Mrinal Kalakrishnan2, Jitendra Malik2, Mike Lambeta2, Tingfan Wu2, Pieter Abbeel1, and Mustafa Mukadam2. 1BAIR, Berkeley EECS and 2FAIR at Meta Achieving Unprecedented Dexterity We introduce Dexerity
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Globally representative evidence on the actual and perceived support for climate action - Nature Climate Change
The world’s climate is a global common good and protecting it requires the cooperative effort of individuals across the globe. Consequently, the ‘human factor’ is critical and renders the behavioural science perspective on climate change indispensable for effective climate action. Despite its importance, limited knowledge exists regarding the willingness of the global population to cooperate and a
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Anchor Sponsor Firms in Open Source Software Ecosystems
Robust-first computing: Demon Horde Sort (full version)
https://dl.acm.org/doi/10.1145/3593856.3595909
LLMmap: Fingerprinting For Large Language Models
https://scnps.co/papers/sp23_domclob.pdf
Bachelor’s Thesis
GitHub - papers-we-love/papers-we-love: Papers from the computer science community to read and discuss.
What Do Small Businesses Do?
2024/1/30　やã¾ã¨ç¤¾ä¼šã‚¤ãƒ³ãƒ‘クトファンドã¯ã‚¤ãƒ³ãƒ‘クトレãƒãƒ¼ãƒˆ2023を発行ã—ã¾ã—ãŸ
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