2 citations · 2 across the 9 of their papers we have counts for
9 papers
Top-b: Entropic Regulation of Relative Probability Bands in Autoregressive Language Processes
Deepon Halder, Raj Dabre
Probabilistic language generators are theoretically modeled as discrete stochastic processes, yet standard decoding strategies (Top-k, Top-p) impose static truncation rules that fa…
RiddleBench: A New Generative Reasoning Benchmark for LLMs
Deepon Halder, Alan Saji, Thanmay Jayakumar +3
Large Language Models have demonstrated strong performance on many established reasoning benchmarks. However, these benchmarks primarily evaluate structured skills like quantitativ…
When Alignment Hurts: Decoupling Representational Spaces in Multilingual Models
Ahmed Elshabrawy, Hour Kaing, Haiyue Song +4
Alignment with high-resource standard languages is often assumed to aid the modeling of related low-resource varieties. We challenge this assumption by demonstrating that excessive…
Mark My Words: A Robust Multilingual Model for Punctuation in Text and Speech Transcripts
Sidharth Pulipaka, Sparsh Jain, Ashwin Sankar +1
Punctuation plays a vital role in structuring meaning, yet current models often struggle to restore it accurately in transcripts of spontaneous speech, especially in the presence o…
CycleDistill: Bootstrapping Machine Translation using LLMs with Cyclical Distillation
Deepon Halder, Thanmay Jayakumar, Raj Dabre
Large language models (LLMs), despite their ability to perform few-shot machine translation (MT), often lag behind dedicated MT systems trained on parallel corpora, which are cruci…
CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation
Emilio Villa-Cueva, Sholpan Bolatzhanova, Diana Turmakhan +32
Translating cultural content poses challenges for machine translation systems due to the differences in conceptualizations between cultures, where language alone may fail to convey…
IteRABRe: Iterative Recovery-Aided Block Reduction
Haryo Akbarianto Wibowo, Haiyue Song, Hideki Tanaka +3
Large Language Models (LLMs) have grown increasingly expensive to deploy, driving the need for effective model compression techniques. While block pruning offers a straightforward…
TikZero: Zero-Shot Text-Guided Graphics Program Synthesis
Jonas Belouadi, Eddy Ilg, Margret Keuper +5
Automatically synthesizing figures from text captions is a compelling capability. However, achieving high geometric precision and editability requires representing figures as graph…
RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs
Alan Saji, Jaavid Aktar Husain, Thanmay Jayakumar +3
Large Language Models (LLMs) exhibit strong multilingual performance despite being predominantly trained on English-centric corpora. This raises a fundamental question: How do LLMs…