🎉 Excited to share that our paper have been accepted to EMNLP 2025 (Main Track)!
Title: Can Large Language Models Unlock Novel Scientific Research Ideas?
Paper link and Code: arxiv.org/abs/2409.06185
Looking forward to presenting in Suzhou, China 🇨🇳!
#EMNLP2025@emnlpmeeting
✨ Our paper "CourtEval: A Courtroom-Based Multi-Agent Evaluation Framework" got accepted to ACL (Findings)! 🎉 Huge thanks to my collaborators
See you in Vienna! 📷#ACL2025#NLProc
@aclmeeting#NLP#LLMs
Thrilled to share that I attended 𝗡𝗔𝗔𝗖𝗟 𝟮𝟬𝟮𝟱 𝗶𝗻 𝗔𝗹𝗯𝘂𝗾𝘂𝗲𝗿𝗾𝘂𝗲, 𝗡𝗲𝘄 𝗠𝗲𝘅𝗶𝗰𝗼, where I presented my paper “MixRevDetect: Towards Detecting AI-Generated Content in Hybrid Peer Reviews”
Paper: lnkd.in/d3-V9Yn2
Albuquerque was equally memorable.
🌊Reached #EMNLP2024 , presenting paper on Wed Eve!
Aside from this, I'd love to chat about:
• AI text detection/Watermarking
• AI in Science
• LLM as Judge
• Hypothesis Generation
Also, I'm on the lookout for a summer 2025 internship/PostDoc!
🎉EMNLP 2024🎉
🎉Thrilled to announce that our paper is accepted at EMNLP 2024 Main!
'Quis custodiet ipsos custodes?' Who will watch the watchmen? On Detecting AI-generated peer-reviews"
We propose an algorithm for detecting AI generated Fake Reviews.
#EMNLP2024.
📚 Paper "Can Large Language Models Unlock Novel Scientific Research Ideas?"
- Gives insights into the evolving role of LLMs in idea generation, both its capability and limitations.
- Talks about some common matrics in this regard.
- Contributes to the ongoing efforts in…
New research reveals that Claude-2 and GPT-4 outperform other models in generating aligned and diverse research ideas, contributing valuable insights into the evolving role of LLMs in academic creativity. : emergentmind.com/papers/2409.06…
10. Can Large Language Models Unlock Novel Scientific Research Ideas?
🔑 Keywords: Large Language Models, idea generation, research domains, Claude-2, GPT-4
💡 Category: Natural Language Processing
🌟 Research Objective:
To explore the capability of Large Language Models…
@omarsar0 The paper explores the capability of Large Language Models (LLMs) in generating novel research ideas based on information from research papers. The authors conduct a thorough examination of 4 LLMs - Claude-2, Gemini-1.0, GPT-3.5, and GPT-4 - across five domains: Computer Science,…
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