Carl Edwards

41 posts

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Carl Edwards

Carl Edwards

@CarlEdwards_NLP

CS PhD Student @UIUC Scientific NLP, AI4Science, language+multimodal for function-level control of drug, protein, and material design (for health&environment).

Katılım Ağustos 2022
66 Takip Edilen212 Takipçiler
Carl Edwards
Carl Edwards@CarlEdwards_NLP·
Three tracks, three research questions: A. Prompt-only: find the best prompt for a fixed GPT-OSS-120B model B. Agentic: multi-agent + tool calls, same fixed LLM C. Fine-tuning: any open model <10B params (SFT, LoRA, RL, ...) Submit to one or all.
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Carl Edwards
Carl Edwards@CarlEdwards_NLP·
Can LLMs and agents do real biology, or just talk about it? We're launching the BioReasoning Challenge 2026 at MLGenX @ #ICLR2026: an open competition asking whether language models can predict the outcome of a real perturbation experiment. genentech.github.io/BioReasoningCh…
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Qingyun Wang
Qingyun Wang@eagle_hz·
🚀Join us tomorrow in Room 122A for our 2nd AAAI @RealAAAI AI4Research workshop🧪! We have an exciting lineup of presentations from our amazing invited speakers—don’t miss out! #AI4Research #AAAI2025 sites.google.com/view/ai4resear…
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Marinka Zitnik@marinkazitnik

Excited to share our latest on multimodal AI and agents for drug design and therapeutic reasoning #AAAI2025 @RealAAAI 📅 Monday, 9 AM – AI2ASE: AI to Accelerate Science and Engineering, ai-2-ase.github.io/schedule/ 📅 Tuesday, 10 AM – AI4Research: Knowledge-Grounded Scientific Research, sites.google.com/view/ai4resear…

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Qingyun Wang
Qingyun Wang@eagle_hz·
Excited to see many AI4Research papers at #EMNLP2024. If you want to learn more, join us at AAAI 2025 for the Second AI4Research Workshop in Philadelphia! Our full-day workshop at AAAI 2025 on March 4th, 2025, dives deep into the entire AI-assisted scientific research lifecycle. With invited speakers @hengjinlp @_DougDowney @jeffclune @marinkazitnik @WeiWang1973 @aviadlevis 🌟 We're inviting submissions on topics like: General Track: 1. Challenges and solutions for autonomous research 2. SOTA algorithms for each research stage 3. Scientist accessibility and AI model collaboration 4. Social impact and ethical considerations of AI in scientific research Dataset & Evaluation Track: 1. New datasets and evaluation metrics for knowledge-grounded autonomous research 🗓️ Key Dates: Submission Deadline: Nov 24 Acceptance Notification: Dec 9, 2024 Workshop Date: Mar 4, 2025 Submit your work now and be part of the future of AI! 👉 Workshop Details & Submission twtr.to/_sqcK #AI4Research #AAAI2025 #callforpapers Organized with @Wenpeng_Yin , @lifu_huang , @May_F1_ , @Xinya16 , @CarlEdwards_NLP , @Hoper_Tom
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Yi R. (May) Fung
Yi R. (May) Fung@May_F1_·
🚀 [CFP] Join Us at AAAI 2025 for the Second AI4Research Workshop! 🧪 Are you exploring cutting-edge research in an AI-assisted scientific research lifecycle? Do you want to uncover potential "hidden gems" and "sleeping beauties" in scientific literature? Our full-day workshop at AAAI 2025 on March 4th, 2025, dives deep into the entire AI-assisted scientific research lifecycle, detailing how machines can augment every stage of the research process. 🌟 We're inviting submissions on topics including: General Track: 1. Challenges and solutions for autonomous research 2. SOTA algorithms for each research stage 3. Scientist accessibility and AI model collaboration 4. Social impact and ethical considerations of AI in scientific research Dataset & Evaluation Track: 1. New datasets and evaluation metrics for knowledge-grounded autonomous research 🗓️ Key Dates: Submission Deadline: Nov 24 Acceptance Notification: Dec 9, 2024 Workshop Date: Mar 4, 2025 Submit your work now and be part of the future of AI! 👉 Workshop Details & Submission sites.google.com/view/ai4resear… with @eagle_hz, @Wenpeng_Yin, @lifu_huang, @Xinya16, @CarlEdwards_NLP, @Hoper_Tom #AI4Research #AAAI2025 #CallForPapers
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Tom Hope
Tom Hope@Hoper_Tom·
At @COLM_conf this week, check out our paper (presented by @CarlEdwards_NLP) on LLM-based drug synergy hypothesis generation. Predicting synergistic combination therapies given specific tumor information, and generating/retrieving drugs optimized to synergize in the context of specific patients. With novel forms of in-context learning, graph-based context optimization, and drug design task formulation via retrieval.
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Qingyun Wang
Qingyun Wang@eagle_hz·
🚀 Launching the Second AI4Research Workshop at AAAI 2025 @RealAAAI! Dive into the interdisciplinary collaboration for breakthroughs in AI-assisted research lifecycle. Submit your research by Nov. 22! twtr.to/jA1sL
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Qingyun Wang
Qingyun Wang@eagle_hz·
🚀 Dive into the future of research with our tutorial: "Towards a Human-Computer Collaborative Scientific Paper Lifecycle". Explore how #NLP revolutionizes the way we understand literature, develop experiments, draft, and evaluate scientific papers. shorturl.at/twYZ9
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