no code implementations • 26 Apr 2024 • Teresa Lynn, Malik H. Altakrori, Samar Mohamed Magdy, Rocktim Jyoti Das, Chenyang Lyu, Mohamed Nasr, Younes Samih, Alham Fikri Aji, Preslav Nakov, Shantanu Godbole, Salim Roukos, Radu Florian, Nizar Habash
The rapid evolution of Natural Language Processing (NLP) has favored major languages such as English, leaving a significant gap for many others due to limited resources.
Extractive Question-Answering Machine Reading Comprehension +2
1 code implementation • 15 Mar 2024 • Rocktim Jyoti Das, Simeon Emilov Hristov, Haonan Li, Dimitar Iliyanov Dimitrov, Ivan Koychev, Preslav Nakov
Solving the problems in the dataset requires advanced perception and joint reasoning over the text and the visual content of the image.
no code implementations • 4 Feb 2024 • Yuxia Wang, Minghan Wang, Muhammad Arslan Manzoor, Fei Liu, Georgi Georgiev, Rocktim Jyoti Das, Preslav Nakov
Large language models (LLMs), especially when instruction-tuned for chat, have become part of our daily lives, freeing people from the process of searching, extracting, and integrating information from multiple sources by offering a straightforward answer to a variety of questions in a single place.
2 code implementations • 8 Nov 2023 • Rocktim Jyoti Das, MingJie Sun, Liqun Ma, Zhiqiang Shen
GBLM-Pruner leverages the first-order term of the Taylor expansion, operating in a training-free manner by harnessing properly normalized gradients from a few calibration samples to determine the pruning metric, and substantially outperforms competitive counterparts like SparseGPT and Wanda in multiple benchmarks.
1 code implementation • 26 May 2023 • Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam
In this work, we define the novel problem of learning a TOD agent with dialog-KB inconsistencies in the training data.
no code implementations • 16 Mar 2023 • Shushan Arakelyan, Rocktim Jyoti Das, Yi Mao, Xiang Ren
We systematically study how three large language models with code capabilities - CodeT5, Codex, and ChatGPT - generalize to out-of-domain data.