Mayank Agarwal
10 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Achievements
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Keyword Collector
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Research topics
Machine Learning
(10)
Artificial Intelligence
(6)
Learning Types Β· Machine Learning
(6)
Deep Learning
(5)
Natural Language Processing
(4)
Core AI
(4)
Learning Types Β· Deep Learning
(4)
Resources & Methods
(4)
Learning Paradigms
(3)
Application Areas
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Analysis
(1)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Keywords
large language model
(3)
function calling
(2)
3d reconstruction
(1)
zero-shot learning
(1)
benchmark evaluation
(1)
metric learning
(1)
few-shot learning
(1)
instruction following
(1)
bayesian nonparametrics
(1)
bayesian inference
(1)
prompt engineering
(1)
distributed learning
(1)
point cloud
(1)
3d vision
(1)
image reconstruction
(1)
multi-task learning
(1)
language model alignment
(1)
model safety
(1)
responsible ai
(1)
contrastive 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
An Investigation of Representation and Allocation Harms in Contrastive Learning
ICLR 2024
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks
EMNLP 2024
Explain-then-translate: an analysis on improving program translation with self-generated explanations
EMNLP 2023
On sensitivity of meta-learning to support data
NeurIPS 2021
Bayesian Nonparametric Federated Learning of Neural Networks
ICML 2019
CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision
AAAI 2019
Statistical Model Aggregation via Parameter Matching
NeurIPS 2019