← Authors

Prasanna Parthasarathi

24 papers · 2018–2026 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (7) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (54) 🀝 Dynamic Duo (11) 🧬 Topic Evolution πŸ”₯ Unstoppable (6) ❓ The Questioner (2) πŸ’Ž Century Club (23) πŸ—ƒοΈ Keyword Collector (111) ⚑ Prolific Year (5)

Conferences

EMNLP (9) ACL (7) EACL (2) IJCNLP (2) AAAI (1) AACL (1) CONLL (1) ICLR (1)

Top co-authors

Sarath Chandar (11) Mehdi Rezagholizadeh (8) Boxing Chen (5) Abbas Ghaddar (5) Joelle Pineau (5) Koustuv Sinha (4) Amal Zouaq (4) Jerry Huang (4) Louis Clouatre (4) Adina Williams (3)

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 Models’ 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