Mayank Agarwal
10 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Cross-Pollinator (5) π Conference Polyglot (5) π Academic Marathon (6) π Renaissance Researcher (5)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(31)
π§
Keyword Pioneer
π§¬
Topic Evolution
π
Grand Slam
π₯
Mega-Team
(26)
β
The Questioner
ποΈ
Keyword Collector
(56)
π
Century Club
(10)
π
Conference Pioneer
Conferences
EMNLP (4)
NIPS (2)
AAAI (1)
EACL (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
large language model
(3)
function calling
(2)
3d reconstruction
(1)
benchmark evaluation
(1)
metric learning
(1)
multi-task learning
(1)
bayesian nonparametrics
(1)
language model alignment
(1)
bayesian inference
(1)
prompt engineering
(1)
distributed learning
(1)
point cloud
(1)
3d vision
(1)
image reconstruction
(1)
instruction following
(1)
few-shot learning
(1)
model safety
(1)
responsible ai
(1)
model aggregation
(1)
zero-shot learning
(1)
Papers
How Good Are LLMs at Processing Tool Outputs?
EACL 2026
NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls
EMNLP 2025
Aligners: Decoupling LLMs and Alignment
EMNLP 2024
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks
EMNLP 2024
An Investigation of Representation and Allocation Harms in Contrastive Learning
ICLR 2024
Explain-then-translate: an analysis on improving program translation with self-generated explanations
EMNLP 2023
On sensitivity of meta-learning to support data
NIPS 2021
Statistical Model Aggregation via Parameter Matching
NIPS 2019
CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision
AAAI 2019
Bayesian Nonparametric Federated Learning of Neural Networks
ICML 2019