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Found 12 papers, 2 papers with code
Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI
In the dynamic landscape of generative NLP, traditional text processing pipelines limit research flexibility and reproducibility, as they are tailored to specific dataset, task, and model combinations.
Knowledge is a Region in Weight Space for Fine-tuned Language Models
Notably, we show that language models that have been finetuned on the same dataset form a tight cluster in the weight space, while models finetuned on different datasets from the same underlying task form a looser cluster.
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning
We propose a new paradigm to continually evolve pretrained models, denoted ColD Fusion.
Where to start? Analyzing the potential value of intermediate models
Such a model, finetuned on some source dataset, may provide a better starting point for a new finetuning process on a desired target dataset.
Fusing finetuned models for better pretraining
We also show that fusing is often better than intertraining.
Project Debater APIs: Decomposing the AI Grand Challenge
Engaging in a live debate requires a diverse set of skills, and Project Debater has been developed accordingly as a collection of components, each designed to perform a specific subtask.
Advances in Debating Technologies: Building AI That Can Debate Humans
We present a complete pipeline of a debating system, and discuss the information flow and the interaction between the various components.
Automatic Argument Quality Assessment - New Datasets and Methods
In spite of the inherent subjective nature of the task, both annotation schemes led to surprisingly consistent results.
Automatic Argument Quality Assessment -- New Datasets and Methods
In spite of the inherent subjective nature of the task, both annotation schemes led to surprisingly consistent results.
Learning Thematic Similarity Metric from Article Sections Using Triplet Networks
We train a triplet network to embed sentences from the same section closer.
What did you Mention? A Large Scale Mention Detection Benchmark for Spoken and Written Text
We describe a large, high-quality benchmark for the evaluation of Mention Detection tools.
A Recorded Debating Dataset
This paper describes an English audio and textual dataset of debating speeches, a unique resource for the growing research field of computational argumentation and debating technologies.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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