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Andrew Wang

  1. Identifying the Risks of LM Agents with an LM-Emulated Sandbox
    2023/09/25 by Yangjun Ruan, Ruan, Yangjun, Honghua Dong +15 · 62 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation #Natural Language Processing Techniques #Topic Modeling
  2. Llama-Nemotron: Efficient Reasoning Models
    2025/05/02 by Akhiad Bercovich, Itay Levy, Bercovich, Akhiad +224 · 1 voice · 29 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
  3. El Agente: An autonomous agent for quantum chemistry
    2025/05/05 by Yunheng Zou, Yushi Zou, Zou, Yunheng +33 · 2 voices · 22 citations
    Materials Science · Computer Science · Engineering · #Machine Learning in Materials Science #Computational Drug Discovery Methods #Innovative Microfluidic and Catalytic Techniques Innovation
  4. Epistemic Fine-Tuning of Open-Weight LLMs for Deep Research: Nehanda v3 and the FACTS Grounding Benchmark
    2025/01/06 by Jacovi, Alon, Andrew Wang, Chris Alberti +45 · 12 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Research Data Management Practices
  5. Boosted Prompt Ensembles for Large Language Models
    2023/04/12 by Silviu Pitis, Pitis, Silviu, Michael R. Zhang +5 · 4 citations
    Computer Science · Decision Sciences · #Topic Modeling #Natural Language Processing Techniques #Data Quality and Management
  6. Can Authorship Representation Learning Capture Stylistic Features?
    2023/08/22 by Andrew Wang, Cristina Aggazzotti, Wang, Andrew +9 · 4 citations
    Computer Science · #Authorship Attribution and Profiling #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  7. DeepInverse: A Python package for solving imaging inverse problems with deep learning
    2025/05/26 by Julián Tachella, Tachella, Julián, Matthieu Terris +50 · 16 citations
    Mathematics · Computer Science · Engineering · #Statistical and numerical algorithms #Computational Physics and Python Applications #Sparse and Compressive Sensing Techniques
  8. Learning to Generate Text in Arbitrary Writing Styles
    2023/12/28 by Aleem Khan, Khan, Aleem, Andrew Wang +5 · 1 citation
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Authorship Attribution and Profiling
  9. Ground-Compose-Reinforce: Grounding Language in Agentic Behaviours using Limited Data
    2025/07/14 by Andrew C. Li, Li, Andrew C., Toryn Q. Klassen +7 · 2 citations
    Computer Science · #Reinforcement Learning in Robotics