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Vikas Yadav

  1. Cats Confuse Reasoning LLM: Query Agnostic Adversarial Triggers for Reasoning Models
    2025/03/03 by Meghana Arakkal Rajeev, Meghana Rajeev, Rajkumar Ramamurthy +15 · 44 voices · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI)
  2. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
    2025/07/07 by Gheorghe Comanici, Comanici, Gheorghe, Eric Bieber +6844 · 8 voices · 1352 citations
    #cs.CL #cs.AI
  3. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
    2024/03/08 by Gemini Robotics Team, Petko Georgiev, Gemini Team +2277 · 4 voices · 540 citations
    Computer Science · #Semantic Web and Ontologies
  4. AlpaGasus: Training A Better Alpaca with Fewer Data
    2023/07/17 by Lichang Chen, Chen, Lichang, Shiyang Li +19 · 28 citations
    Computer Science · #Video Analysis and Summarization
  5. Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
    2023/07/31 by Jun Yan, Vikas Yadav, Yan, Jun +15 · 28 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Topic Modeling #Ferroelectric and Negative Capacitance Devices
  6. Gemini: A Family of Highly Capable Multimodal Models
    2023/12/19 by Rohan Anil, Gemini Team, Sebastian Borgeaud +2682 · 9 voices
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.AI #cs.CL #cs.CV
  7. Curry-DPO: Enhancing Alignment using Curriculum Learning & Ranked Preferences
    2024/03/12 by Pulkit Pattnaik, Pattnaik, Pulkit, Rishabh Maheshwary +7 · 10 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG)
  8. Layer-Wise Quantization: A Pragmatic and Effective Method for Quantizing LLMs Beyond Integer Bit-Levels
    2024/06/25 by Razvan-Gabriel Dumitru, Dumitru, Razvan-Gabriel, Vikas Yadav +9 · 5 citations
    Engineering · #Advancements in Photolithography Techniques #Advancements in Semiconductor Devices and Circuit Design #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.0 #I.2.7 #Machine Learning (cs.LG) #Semiconductor materials and devices
  9. Prompting with Phonemes: Enhancing LLMs' Multilinguality for Non-Latin Script Languages
    2024/11/04 by Hoang Nguyen, Nguyen, Hoang H, Khyati Mahajan +10 · 3 citations
    Arts and Humanities · Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Translation Studies and Practices
  10. M2Lingual: Enhancing Multilingual, Multi-Turn Instruction Alignment in Large Language Models
    2024/06/24 by Rishabh Maheshwary, Vikas Yadav, Maheshwary, Rishabh +7 · 2 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling
  11. Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework
    2024/12/17 by Shiva Krishna Reddy Malay, Tiwari, Aman, Malay, Shiva Krishna Reddy +6 · 3 citations
    Computer Science · #Semantic Web and Ontologies #Graph Theory and Algorithms #Cognitive Computing and Networks
  12. CopySpec: Accelerating LLMs with Speculative Copy-and-Paste Without Compromising Quality
    2025/02/13 by Razvan-Gabriel Dumitru, Dumitru, Razvan-Gabriel, Minglai Yang +5 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Digital Rights Management and Security #FOS: Computer and information sciences #I.2.0 #I.2.7 #Machine Learning (cs.LG) #Semantic Web and Ontologies
  13. Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors
    2024/06/24 by Vikas Yadav, Yadav, Vikas, Zheng Tang +3 · 1 citation
    Computer Science · #Topic Modeling #Natural Language Processing Techniques
  14. Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy
    2024/11/05 by Razvan-Gabriel Dumitru, Dumitru, Razvan-Gabriel, Paul-Ioan Clotan +7 · 1 citation
    Computer Science · #Natural Language Processing Techniques #Network Packet Processing and Optimization
  15. Multi-class Hierarchical Question Classification for Multiple Choice Science Exams
    2019/08/15 by Dongfang Xu, Peter Jansen, Xu, Dongfang +13 · 1 citation
    Computer Science · Social Sciences · #Topic Modeling #Educational Assessment and Pedagogy #Multimodal Machine Learning Applications
  16. ESF-Bench: Benchmarking Challenging Slot-Filling Scenarios for Real-World Enterprise Applications
    2026/07/25 by Toby Liang, Gopal Sarda, Sagar Davasam +1
    #cs.AI