Search Results for author:
Found 13 papers, 2 papers with code
Hierarchical Graph Convolutional Networks for Jointly Resolving Cross-document Coreference of Entity and Event Mentions
Prior work has demonstrated the benefits of the predicate-argument information and document context for resolving the coreference of event mentions.
Learning Cross-lingual Representations for Event Coreference Resolution with Multi-view Alignment and Optimal Transport
We study a new problem of cross-lingual transfer learning for event coreference resolution (ECR) where models trained on data from a source language are adapted for evaluations in different target languages.
Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models
However, existing open math datasets either contain a small collection of high-quality, human-written problems or a large corpus of machine-generated problems of uncertain quality, forcing researchers to choose between quality and quantity.
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though
We propose a novel framework, Meta Chain-of-Thought (Meta-CoT), which extends traditional Chain-of-Thought (CoT) by explicitly modeling the underlying reasoning required to arrive at a particular CoT.
Arabic Stable LM: Adapting Stable LM 2 1.6B to Arabic
Our Arabic Stable LM 1. 6B chat model achieves impressive results on several benchmarks beating multiple models with up to 8x the parameters.
Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models
Further, we emphasize the existence of Quality-Diversity trade-offs in training data and the downstream effects on model performance.
Rephrasing natural text data with different languages and quality levels for Large Language Model pre-training
In addition, we provide a detailed study of our pipeline, investigating the choice of the base dataset and LLM for the rephrasing, as well as the relationship between the model size and the performance after pre-training.
Stable Code Technical Report
Stable Code Instruct also exhibits state-of-the-art performance on the MT-Bench coding tasks and on Multi-PL completion compared to other instruction tuned models.
Stable LM 2 1.6B Technical Report
We introduce StableLM 2 1. 6B, the first in a new generation of our language model series.
A Data-centric Framework for Improving Domain-specific Machine Reading Comprehension Datasets
We applied the proposed framework to four biomedical datasets and showed relative improvement of up to 33%/40% for fine-tuning of retrieval/reader models on the BioASQ dataset when using back translation to enhance the original dataset quality.
Exploiting Document Structures and Cluster Consistencies for Event Coreference Resolution
In addition, consistency constraints between golden and predicted clusters of event mentions have not been considered to improve representation learning in prior deep learning models for ECR.
Structural and Functional Decomposition for Personality Image Captioning in a Communication Game
Personality image captioning (PIC) aims to describe an image with a natural language caption given a personality trait.
