Sunayana Sitaram
47 papers · 2016–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+12 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (65) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π¬
Deep Specialist
(27)
π€
Dynamic Duo
(17)
π§¬
Topic Evolution
π₯
Mega-Team Β· Squad
π
Keyword Champion
(8)
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Silver
β
The Questioner
(2)
β‘
Prolific Year Β· Prolific
π
Century Club Β· Bronze
π
Trend Setter
ποΈ
Keyword Collector
(178)
Venues
Top co-authors
Research topics
Natural Language Processing
(36)
Resources & Methods
(32)
Machine Learning
(27)
Artificial Intelligence
(26)
Core AI
(23)
Deep Learning
(16)
Application Areas
(13)
Learning Types Β· Machine Learning
(10)
Models
(9)
Speech & Audio
(8)
Learning Paradigms
(8)
Applications
(7)
Recognition
(7)
Learning Types Β· Deep Learning
(6)
Interdisciplinary
(4)
Keywords
large language model
(15)
low-resource language
(10)
multilingual evaluation
(8)
multilingual language model
(6)
multilingual nlp
(6)
cross-lingual transfer
(6)
automatic speech recognition
(5)
transfer learning
(4)
natural language processing
(4)
sentiment analysis
(3)
language model
(3)
code-mixed language
(3)
synthetic data generation
(3)
benchmark evaluation
(3)
speech recognition
(3)
instruction tuning
(3)
multilingual model
(3)
word error rate
(3)
benchmark dataset
(2)
zero-shot learning
(2)
Papers
UPDESH: Synthesizing Grounded Instruction Tuning Data for 13 Indic Languages
ACL 2026
A Multilingual, Culture-First Approach to Addressing Misgendering in LLM Applications
EMNLP 2025
Beyond Metrics: Evaluating LLMs Effectiveness in Culturally Nuanced, Low-Resource Real-World Scenarios
ACL 2025
Bridging the Language Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs
COLING 2025
Improving Consistency in LLM Inference using Probabilistic Tokenization
NAACL 2025
Improving Cross Lingual Transfer by Pretraining with Active Forgetting
EMNLP 2025
sPhinX: Sample Efficient Multilingual Instruction Fine-Tuning Through N-shot Guided Prompting
ACL 2025
Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?
EACL 2024
A Unified Framework and Dataset for Assessing Societal Bias in Vision-Language Models
EMNLP 2024
Cultural Conditioning or Placebo? On the Effectiveness of Socio-Demographic Prompting
EMNLP 2024
CultureLLM: Incorporating Cultural Differences into Large Language Models
NeurIPS 2024
DOSA: A Dataset of Social Artifacts from Different Indian Geographical Subcultures
COLING 2024
M5 β A Diverse Benchmark to Assess the Performance of Large Multimodal Models Across Multilingual and Multicultural Vision-Language Tasks
EMNLP 2024
MAFIA: Multi-Adapter Fused Inclusive Language Models
EACL 2024
MAPLE: Multilingual Evaluation of Parameter Efficient Finetuning of Large Language Models
ACL 2024
MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks
NAACL 2024
METAL: Towards Multilingual Meta-Evaluation
NAACL 2024
MS-HuBERT: Mitigating Pre-training and Inference Mismatch in Masked Language Modelling methods for learning Speech Representations
Interspeech 2024
PARIKSHA: A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data
EMNLP 2024
Teaching LLMs to Abstain across Languages via Multilingual Feedback
EMNLP 2024
A Comparative Study on the Impact of Model Compression Techniques on Fairness in Language Models
ACL 2023
DiTTO: A Feature Representation Imitation Approach for Improving Cross-Lingual Transfer
EACL 2023
Everything you need to know about Multilingual LLMs: Towards fair, performant and reliable models for languages of the world
ACL 2023
Fairness in Language Models Beyond English: Gaps and Challenges
EACL 2023
MEGA: Multilingual Evaluation of Generative AI
EMNLP 2023
On Evaluating and Mitigating Gender Biases in Multilingual Settings
ACL 2023
Performance and Risk Trade-offs for Multi-word Text Prediction at Scale
EACL 2023
Representativeness as a Forgotten Lesson for Multilingual and Code-switched Data Collection and Preparation
EMNLP 2023
Beyond Static models and test sets: Benchmarking the potential of pre-trained models across tasks and languages
ACL 2022
LITMUS Predictor: An AI Assistant for Building Reliable, High-Performing and Fair Multilingual NLP Systems
AAAI 2022
Multilingual CheckList: Generation and Evaluation
AACL 2022
On the Calibration of Massively Multilingual Language Models
EMNLP 2022
The SUMEval 2022 Shared Task on Performance Prediction of Multilingual Pre-trained Language Models
AACL 2022
A Case Study of Efficacy and Challenges in Practical Human-in-Loop Evaluation of NLP Systems Using Checklist
EACL 2021
A Survey of Code-switching: Linguistic and Social Perspectives for Language Technologies
ACL 2021
GCM: A Toolkit for Generating Synthetic Code-mixed Text
EACL 2021
MUCS 2021: Multilingual and Code-Switching ASR Challenges for Low Resource Indian Languages
Interspeech 2021
GLUECoS: An Evaluation Benchmark for Code-Switched NLP
ACL 2020
CoSSAT: Code-Switched Speech Annotation Tool
EMNLP 2019
Automatic Detection of Code-switching Style from Acoustics
ACL 2018
Effect of TTS Generated Audio on OOV Detection and Word Error Rate in ASR for Low-resource Languages
Interspeech 2018
Homophone Identification and Merging for Code-switched Speech Recognition
Interspeech 2018
Language Modeling for Code-Mixing: The Role of Linguistic Theory based Synthetic Data
ACL 2018
Phone Merging For Code-Switched Speech Recognition
ACL 2018
Word Embeddings for Code-Mixed Language Processing
EMNLP 2018
Speech Synthesis for Mixed-Language Navigation Instructions
Interspeech 2017
Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning
NAACL 2016