Prasanna Parthasarathi
24 papers · 2018–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Conference Polyglot (8) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (12)
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Cross-Pollinator
(12)
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Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(54)
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Dynamic Duo
(11)
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Topic Evolution
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Unstoppable
(6)
β
The Questioner
(2)
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Century Club
(23)
ποΈ
Keyword Collector
(111)
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Prolific Year
(5)
Conferences
EMNLP (9)
ACL (7)
EACL (2)
IJCNLP (2)
AAAI (1)
AACL (1)
CONLL (1)
ICLR (1)
Top co-authors
Keywords
large language model
(6)
natural language understanding
(3)
language model
(3)
benchmark evaluation
(3)
few-shot learning
(2)
syntactic understanding
(2)
word order perturbation
(2)
knowledge-grounded dialogue
(2)
text classification
(2)
perturbation study
(2)
natural language inference
(2)
multilingual nlp
(2)
graph isomorphism network
(2)
word order invariance
(2)
question answering
(2)
dependency parsing
(2)
pretrained language model
(2)
word order
(2)
syntactic bia
(2)
information extraction
(1)
Papers
Thinking Long, but Short: Stable Sequential Test-Time Scaling for Large Reasoning Models
EACL 2026
CHARPEVAL: Benchmarking Large Language Modelsβ Contextual Reasoning in Knowledge-Grounded Dialogue
ACL 2025
Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination
ACL 2025
CHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems
ACL 2024
Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models
EMNLP 2024
Do Large Language Models Know How Much They Know?
EMNLP 2024
EWEK-QA : Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems
ACL 2024
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness
AAAI 2023
On the utility of enhancing BERT syntactic bias with Token Reordering Pretraining
CONLL 2023
Practical Takes on Federated Learning with Pretrained Language Models
EACL 2023
EpiK-Eval: Evaluation for Language Models as Epistemic Models
EMNLP 2023
Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models
EMNLP 2023
On the utility of enhancing BERT syntactic bias with Token Reordering Pretraining
EMNLP 2023
Detecting Languages Unintelligible to Multilingual Models through Local Structure Probes
EMNLP 2022
Local Structure Matters Most: Perturbation Study in NLU
ACL 2022
Memory Augmented Optimizers for Deep Learning
ICLR 2022
Local Structure Matters Most in Most Languages
IJCNLP 2022
Local Structure Matters Most in Most Languages
AACL 2022
Sometimes We Want Ungrammatical Translations
EMNLP 2021
UnNatural Language Inference
IJCNLP 2021
UnNatural Language Inference
ACL 2021
Learning an Unreferenced Metric for Online Dialogue Evaluation
ACL 2020
On Task-Level Dialogue Composition of Generative Transformer Model
EMNLP 2020
Extending Neural Generative Conversational Model using External Knowledge Sources
EMNLP 2018