Pratyusha Sharma
Assistant Professor of Computer Science and Data Science
Studies the science of deep learning and language models, new training paradigms, and AI for science such as decoding sperm whale communication.
Pratyusha Sharma's lab at NYU works on signal processing & information theory and large language models. 17 papers since 2023, 14 at top venues, mostly NeurIPS and ICLR. 4 PhD students. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 82%
- PhD students
- 4
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 6 papers2026 · T1 4 · collecting
- 2 papers2025 · T1 2
- 5 papers2024 · T1 5
- 4 papers2023 · T1 3
T1 venuesOtherVenues: NeurIPS, ICLR, ACL, CVPR, EMNLP
Research focuspaper titles that use each topic's words
- Large language models8 papers
- Signal processing & information theory0 papers
- decoding0 papers
- courant0 papers
- training0 papers
Paper list
From the lab homepage.
20266 papers
- NeurIPS (T1)Always Learning, Always Mixing: Efficient and Simple Data Mixing All The Time (opens in a new tab)
- Scientific ReportsDescription of a collaborative sperm whale birth and shifts in coda vocal styles during key events (opens in a new tab)
- NeurIPS (T1)Next-latent prediction transformers learn compact world models (opens in a new tab)
- ICLR (T1)Seeing Through the PRISM: Compound & Controllable Restoration of Scientific Images (opens in a new tab)
- COLMThe art of building verifiers for computer use agents (opens in a new tab)
- NeurIPS (T1)What MLLMs Learn about When they Learn about Multimodal Reasoning: Perception, Reasoning, or their Integration? (opens in a new tab)
20252 papers
- NeurIPS (T1)Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples
- NeurIPS (T1)LoRA vs Full Fine-tuning: An Illusion of Equivalence (opens in a new tab)
20245 papers
- CVPR (T1)A Vision Check-up for Language Models (opens in a new tab)
- Nature Communications (T1)Contextual and combinatorial structure in sperm whale vocalisations (opens in a new tab)
- ICML (T1)Language-guided Skill Learning with Temporal Variational Inference (opens in a new tab)
- ICLR (T1)Learning Adaptive Planning Representations with Natural Language Guidance (opens in a new tab)
- ICLR (T1)The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction (opens in a new tab)
20234 papers
- ICLR (T1)Characterizing Intrinsic Compositionality in Transformers with Tree Projections (opens in a new tab)
- ACL (T1)Grokking of Hierarchical Structure in Vanilla Transformers (opens in a new tab)
- Findings of EMNLPPseudointelligence: A Unifying Framework for Language Model Evaluation (opens in a new tab)
- EMNLP (T1)Pushdown Layers: Encoding Recursive Structure in Transformer Language Models (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NYUFall 2027
Computer Science PhD (Courant / Tandon)
- Round
- Single round (December)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
Some numbers could not be verified:
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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