200 citations · 397 across the 15 of their papers we have counts for
17 papers
Prompting with Pseudo-Code Instructions
Mayank Mishra, Prince Kumar, Riyaz Bhat +3
Prompting with natural language instructions has recently emerged as a popular method of harnessing the capabilities of large language models. Given the inherent ambiguity present…
StarCoder: may the source be with you!
Raymond Li, Loubna Ben Allal, Yangtian Zi +64
The BigCode community, an open-scientific collaboration working on the responsible development of Large Language Models for Code (Code LLMs), introduces StarCoder and StarCoderBase…
SantaCoder: don't reach for the stars!
Loubna Ben Allal, Raymond Li, Denis Kocetkov +38
The BigCode project is an open-scientific collaboration working on the responsible development of large language models for code. This tech report describes the progress of the col…
Semi-Structured Object Sequence Encoders
Rudra Murthy, Riyaz Bhat, Chulaka Gunasekara +5
In this paper we explore the task of modeling semi-structured object sequences; in particular, we focus our attention on the problem of developing a structure-aware input represent…
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BigScience Workshop, :, Teven Le Scao +391
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to wi…
Joint Reasoning on Hybrid-knowledge sources for Task-Oriented Dialog
Mayank Mishra, Danish Contractor, Dinesh Raghu
Traditional systems designed for task oriented dialog utilize knowledge present only in structured knowledge sources to generate responses. However, relevant information required t…
Mix-and-Match: Scalable Dialog Response Retrieval using Gaussian Mixture Embeddings
Gaurav Pandey, Danish Contractor, Sachindra Joshi
Embedding-based approaches for dialog response retrieval embed the context-response pairs as points in the embedding space. These approaches are scalable, but fail to account for t…
It's Time to Do Something: Mitigating the Negative Impacts of Computing Through a Change to the Peer Review Process
Brent Hecht, Lauren Wilcox, Jeffrey P. Bigham +9
The computing research community needs to work much harder to address the downsides of our innovations. Between the erosion of privacy, threats to democracy, and automation's effec…
Variational Learning for Unsupervised Knowledge Grounded Dialogs
Mayank Mishra, Dhiraj Madan, Gaurav Pandey +1
Recent methods for knowledge grounded dialogs generate responses by incorporating information from an external textual document. These methods do not require the exact document to…
Behavioral Use Licensing for Responsible AI
Danish Contractor, Daniel McDuff, Julia Haines +5
With the growing reliance on artificial intelligence (AI) for many different applications, the sharing of code, data, and models is important to ensure the replicability and democr…
Joint Spatio-Textual Reasoning for Answering Tourism Questions
Danish Contractor, Shashank Goel, Mausam +1
Our goal is to answer real-world tourism questions that seek Points-of-Interest (POI) recommendations. Such questions express various kinds of spatial and non-spatial constraints,…
Simulated Chats for Building Dialog Systems: Learning to Generate Conversations from Instructions
Biswesh Mohapatra, Gaurav Pandey, Danish Contractor +1
Popular dialog datasets such as MultiWOZ are created by providing crowd workers an instruction, expressed in natural language, that describes the task to be accomplished. Crowd wor…
Neural Conversational QA: Learning to Reason v.s. Exploiting Patterns
Nikhil Verma, Abhishek Sharma, Dhiraj Madan +3
Neural Conversational QA tasks like ShARC require systems to answer questions based on the contents of a given passage. On studying recent state-of-the-art models on the ShARCQA ta…
Large Scale Question Answering using Tourism Data
Danish Contractor, Krunal Shah, Aditi Partap +2
We introduce the novel task of answering entity-seeking recommendation questions using a collection of reviews that describe candidate answer entities. We harvest a QA dataset that…
Multi-level Memory for Task Oriented Dialogs
Revanth Reddy, Danish Contractor, Dinesh Raghu +1
Recent end-to-end task oriented dialog systems use memory architectures to incorporate external knowledge in their dialogs. Current work makes simplifying assumptions about the str…
Document Chunking and Learning Objective Generation for Instruction Design
Khoi-Nguyen Tran, Jey Han Lau, Danish Contractor +4
Instructional Systems Design is the practice of creating of instructional experiences that make the acquisition of knowledge and skill more efficient, effective, and appealing. Spe…
Towards Understanding and Answering Multi-Sentence Recommendation Questions on Tourism
Danish Contractor, Barun Patra, Mausam Singla +1
We introduce the first system towards the novel task of answering complex multisentence recommendation questions in the tourism domain. Our solution uses a pipeline of two modules:…