Vaibhav Kumar
12 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Machine Learning
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large language model
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word embedding
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representation learning
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in-context learning
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embedding space
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principal component analysis
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self-supervised learning
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binary classification
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attention mechanism
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text classification
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natural language generation
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question answering
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neural machine translation
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parallel corpus
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passage retrieval
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intent classification
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question generation
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conversational search
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Papers
Improving Tool Retrieval by Leveraging Large Language Models for Query Generation
COLING 2025
Planning and Editing What You Retrieve for Enhanced Tool Learning
NAACL 2024
X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects
NAACL 2024
Controlled Text Generation with Hidden Representation Transformations
ACL 2023
An Empirical study to understand the Compositional Prowess of Neural Dialog Models
ACL 2022
JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One-Shot Learning
SemEval 2022
ClarQ: A large-scale and diverse dataset for Clarification Question Generation
ACL 2020
Fair Embedding Engine: A Library for Analyzing and Mitigating Gender Bias in Word Embeddings
EMNLP 2020
Making Information Seeking Easier: An Improved Pipeline for Conversational Search
EMNLP 2020
On Dimensional Linguistic Properties of the Word Embedding Space
ACL 2020
De-Mixing Sentiment from Code-Mixed Text
ACL 2019
Enabling Code-Mixed Translation: Parallel Corpus Creation and MT Augmentation Approach
COLING 2018