Search Results for author:
Found 17 papers, 7 papers with code
The ReproGen Shared Task on Reproducibility of Human Evaluations in NLG: Overview and Results
The NLP field has recently seen a substantial increase in work related to reproducibility of results, and more generally in recognition of the importance of having shared definitions and practices relating to evaluation.
ReproGen: Proposal for a Shared Task on Reproducibility of Human Evaluations in NLG
Across NLP, a growing body of work is looking at the issue of reproducibility.
LitLLM: A Toolkit for Scientific Literature Review
Conducting literature reviews for scientific papers is essential for understanding research, its limitations, and building on existing work.
StarVector: Generating Scalable Vector Graphics Code from Images
These visual tokens are pre-pended to the SVG token embeddings, and the sequence is modeled by the StarCoder model using next-token prediction, effectively learning to align the visual and code tokens.
Approximate Caching for Efficiently Serving Diffusion Models
Text-to-image generation using diffusion models has seen explosive popularity owing to their ability in producing high quality images adhering to text prompts.
Outage-Watch: Early Prediction of Outages using Extreme Event Regularizer
Our proposed method, Outage-Watch, defines critical service outages as deteriorations in the Quality of Service (QoS) captured by a set of metrics.
Going for GOAL: A Resource for Grounded Football Commentaries
As the course of a game is unpredictable, so are commentaries, which makes them a unique resource to investigate dynamic language grounding.
To show or not to show: Redacting sensitive text from videos of electronic displays
With the increasing prevalence of video recordings there is a growing need for tools that can maintain the privacy of those recorded.
Optical Character Recognition
Optical Character Recognition (OCR)
A Systematic Review of Reproducibility Research in Natural Language Processing
Against the background of what has been termed a reproducibility crisis in science, the NLP field is becoming increasingly interested in, and conscientious about, the reproducibility of its results.
History for Visual Dialog: Do we really need it?
Visual Dialog involves "understanding" the dialog history (what has been discussed previously) and the current question (what is asked), in addition to grounding information in the image, to generate the correct response.
Ensemble based discriminative models for Visual Dialog Challenge 2018
This manuscript describes our approach for the Visual Dialog Challenge 2018.
Planning for Goal-Oriented Dialogue Systems
Generating complex multi-turn goal-oriented dialogue agents is a difficult problem that has seen a considerable focus from many leaders in the tech industry, including IBM, Google, Amazon, and Microsoft.
Generating Dialogue Agents via Automated Planning
Dialogue systems have many applications such as customer support or question answering.
Char2char Generation with Reranking for the E2E NLG Challenge
This paper describes our submission to the E2E NLG Challenge.
A Knowledge-Grounded Multimodal Search-Based Conversational Agent
Multimodal search-based dialogue is a challenging new task: It extends visually grounded question answering systems into multi-turn conversations with access to an external database.
Improving Context Modelling in Multimodal Dialogue Generation
In this work, we investigate the task of textual response generation in a multimodal task-oriented dialogue system.
A surprisingly effective out-of-the-box char2char model on the E2E NLG Challenge dataset
We train a char2char model on the E2E NLG Challenge data, by exploiting {``}out-of-the-box{''} the recently released tfseq2seq framework, using some of the standard options offered by this tool.
