6 citations · 7 across the 10 of their papers we have counts for
10 papers
On Defining Erasure Harms for NLP
Yu Lu Liu, Arnav Goel, Jackie Chi Kit Cheung +3
The deployment of NLP systems has raised concerns about harms they might produce, including representational harms. Recent literature has begun to conceptualize and measure one suc…
MORPHOGEN: A Multilingual Benchmark for Evaluating Gender-Aware Morphological Generation
Mehul Agarwal, Aditya Aggarwal, Arnav Goel +2
While multilingual large language models (LLMs) perform well on high-level tasks like translation and question answering, their ability to handle grammatical gender and morphologic…
HORIZON: A Benchmark for In-the-wild User Behaviour Modeling
Arnav Goel, Pranjal A Chitale, Bhawna Paliwal +2
User behavior in the real world is diverse, cross-domain, and spans long time horizons. Existing user modeling benchmarks however remain narrow, focusing mainly on short sessions a…
Enhancing Scientific Visual Question Answering via Vision-Caption aware Supervised Fine-Tuning
Janak Kapuriya, Anwar Shaikh, Arnav Goel +8
In this study, we introduce Vision-Caption aware Supervised FineTuning (VCASFT), a novel learning paradigm designed to enhance the performance of smaller Vision Language Models(VLM…
Attributing Culture-Conditioned Generations to Pretraining Corpora
Huihan Li, Arnav Goel, Keyu He +1
In open-ended generative tasks like narrative writing or dialogue, large language models often exhibit cultural biases, showing limited knowledge and generating templated outputs f…
Exploring Multilingual Unseen Speaker Emotion Recognition: Leveraging Co-Attention Cues in Multitask Learning
Arnav Goel, Medha Hira, Anubha Gupta
Advent of modern deep learning techniques has given rise to advancements in the field of Speech Emotion Recognition (SER). However, most systems prevalent in the field fail to gene…
Multilingual Prosody Transfer: Comparing Supervised & Transfer Learning
Arnav Goel, Medha Hira, Anubha Gupta
The field of prosody transfer in speech synthesis systems is rapidly advancing. This research is focused on evaluating learning methods for adapting pre-trained monolingual text-to…
CrossVoice: Crosslingual Prosody Preserving Cascade-S2ST using Transfer Learning
Medha Hira, Arnav Goel, Anubha Gupta
This paper presents CrossVoice, a novel cascade-based Speech-to-Speech Translation (S2ST) system employing advanced ASR, MT, and TTS technologies with cross-lingual prosody preserv…
LLMGuard: Guarding Against Unsafe LLM Behavior
Shubh Goyal, Medha Hira, Shubham Mishra +6
Although the rise of Large Language Models (LLMs) in enterprise settings brings new opportunities and capabilities, it also brings challenges, such as the risk of generating inappr…
Advancements in Scientific Controllable Text Generation Methods
Arnav Goel, Medha Hira, Avinash Anand +2
The previous work on controllable text generation is organized using a new schema we provide in this study. Seven components make up the schema, and each one is crucial to the crea…