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Found 6 papers, 2 papers with code
SambaLingo: Teaching Large Language Models New Languages
In this paper, we present a comprehensive investigation into the adaptation of LLMs to new languages.
On the Tool Manipulation Capability of Open-source Large Language Models
In this paper, we ask can we enhance open-source LLMs to be competitive to leading closed LLM APIs in tool manipulation, with practical amount of human supervision.
Programming Language Agnostic Mining of Code and Language Pairs with Sequence Labeling Based Question Answering
In particular, we propose to apply the BIO tagging scheme instead of the conventional binary scheme to mine the code solutions which are often composed of multiple blocks of a post.
Jointly Extracting Explicit and Implicit Relational Triples with Reasoning Pattern Enhanced Binary Pointer Network
To explore entity pairs that may be implicitly connected by relations, we propose a binary pointer network to extract overlapping relational triples relevant to each word sequentially and retain the information of previously extracted triples in an external memory.
Generating Code with the Help of Retrieved Template Functions and Stack Overflow Answers
To demonstrate the effectiveness of our model designs, we perform extensive experiments with CodeSearchNet which contains template functions and CoNaLa which contains Stack Overflow intent-snippet pairs.
A Hierarchical Recurrent Neural Network for Symbolic Melody Generation
In this paper, we present a hierarchical recurrent neural network for melody generation, which consists of three Long-Short-Term-Memory (LSTM) subnetworks working in a coarse-to-fine manner along time.
Sound Multimedia
