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Found 7 papers, 5 papers with code
Multilingual Machine Translation Evaluation Metrics Fine-tuned on Pseudo-Negative Examples for WMT 2021 Metrics Task
This paper describes our submission to the WMT2021 shared metrics task.
Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization
To tackle this challenge, we propose Self-Organized multi-Agent framework (SoA), a novel multi-agent framework that enables the scalable and efficient generation and optimization of large-scale code.
Ranked #20 on
Code Generation
on HumanEval
Knowledge Sanitization of Large Language Models
We explore a knowledge sanitization approach to mitigate the privacy concerns associated with large language models (LLMs).
Evaluating the Robustness of Discrete Prompts
To address this question, we conduct a systematic study of the robustness of discrete prompts by applying carefully designed perturbations into an application using AutoPrompt and then measure their performance in two Natural Language Inference (NLI) datasets.
Subspace Representations for Soft Set Operations and Sentence Similarities
In the field of natural language processing (NLP), continuous vector representations are crucial for capturing the semantic meanings of individual words.
Reflection-based Word Attribute Transfer
For transferring king into queen in this analogy-based manner, we subtract a difference vector man - woman based on the knowledge that king is male.
Associative Conversation Model: Generating Visual Information from Textual Information
In this paper, we propose the Associative Conversation Model that generates visual information from textual information and uses it for generating sentences in order to utilize visual information in a dialogue system without image input.
