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Raghuveer Thirukovalluru

Ph.D. Student
Duke University
raghuveer.thirukovalluru@duke.edu


About Me

I am a final-year PhD student in the Department of Computer Science at Duke University, where I’m fortunate to be advised by Prof. Bhuwan Dhingra. Prior to my PhD, I completed my Master’s degree at UMass Amherst, where I worked with the Information Extraction and Synthesis Lab (IESL). I earned my undergraduate degree from IIT Kanpur.

After my undergrad I spent 2 years at Xerox Research working on some text and graph problems. Over the years, I’ve interned at multiple places including FAIR, MetaAI, XRCI, IESL.

Research Interests

My current research interests center on multimodal representation learning and its applications in document visual question answering. In the past, I’ve worked on mitigation of large language model hallucinations, the construction and integration of knowledge graphs, and the optimization of self-supervised langauge model pre-training objectives.

News

Awards

Talks


Selected Publications

  1. Arxiv
    Text-Guided Semantic Image Encoder
    Raghuveer Thirukovalluru, Xiaochuang Han, Bhuwan Dhingra, Emily Dinan, Maha Elbayad
    Arxiv (Nov 2025)
    PDF Code
  2. NeurIPS
    Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining
    Raghuveer Thirukovalluru, Rui Meng, Ye Liu, Karthikeyan K, Mingyi Su, Ping Nie, Semih Yavuz, Yingbo Zhou, Wenhu Chen, Bhuwan Dhingra
    NeurIPS 2025
    PDF Code
    Spotlight at NeurIPS
    SOTA on MMEB Leaderboard (May 2025)
  3. IJCNLP
    Atomic Consistency Preference Optimization for Long-Form Question Answering
    Jingfeng Chen*, Raghuveer Thirukovalluru*, Junlin Wang, Kaiwei Luo, Bhuwan Dhingra (*Equal Author)
    IJCNLP-AACL 2025
    PDF Code
    Oral at IJCNLP-AACL 2025
  4. NAACL
    GenEOL: Harnessing the Generative Power of LLMs for Training-Free Sentence Embeddings
    Raghuveer Thirukovalluru, Bhuwan Dhingra
    In Findings of the North American Association for Computational Linguistics (NAACL 2025)
    PDF Code
  5. EMNLP
    Atomic Self-Consistency for Better Long Form Generations
    Raghuveer Thirukovalluru, Yukun Huang, Bhuwan Dhingra
    In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024)
    PDF Code
    Oral at SouthNLPSymposium 2024
  6. NAACL
    SumCSE: Summary as a transformation for Contrastive Learning
    Raghuveer Thirukovalluru, Xiaolan Wang, Jun Chen, Shuyang Li, Jie Lei, Rong Jin, Bhuwan Dhingra
    In Findings of the North American Association for Computational Linguistics (NAACL 2024)
    PDF Code
  7. COLING
    Sequence Reducible Holdout Loss for Language Model Pretraining
    Raghuveer Thirukovalluru, Nicholas Monath, Bhuwan Dhingra, Sam Wiseman
    In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
    PDF Code
  8. ACL
    Scaling within document coreference to long texts.
    Raghuveer Thirukovalluru, Nicholas Monath, Kumar Shridhar, Manzil Zaheer, Mrinmaya Sachan, and Andrew McCallum.
    Findings of the Association for Computational Linguistics, ACL-IJCNLP 2021 (2021)
    PDF Code
  9. RepL4NLP
    Knowledge Informed Semantic Parsing for Conversational Question Answering
    Raghuveer Thirukovalluru*, Mukund Sridhar*, Dung Thai*, Shruti Chanumolu, Nicholas Monath, Sankaranarayanan Ananthakrishnan, Andrew McCallum (*Equal Author)
    Workshop on Representation Learning for NLP (RepL4NLP-2021).
    PDF Code
  10. RepL4NLP
    Simultaneously self-attending to text and entities for knowledge-informed text representations
    Dung Thai*, Raghuveer Thirukovalluru*, Trapit Bansal*, Andrew McCallum (*Equal Author)
    Workshop on Representation Learning for NLP (RepL4NLP-2021).
    PDF Code


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Beyond the Code


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