xlang-ai Goto Github PK

.github

arks

batch-prompting

[EMNLP 2023 Industry Track] A simple prompting approach that enables the LLMs to run inference in batches.

binder

[ICLR 2023] Code for the paper "Binding Language Models in Symbolic Languages"

diagrams_toolkit

Source code for diagrams in the paper of NLPers from HKU.

ds-1000

[ICML 2023] Official data and code release for the paper "DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation".

icl-selective-annotation

[ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"

instructor-embedding

[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings

openagents

OpenAgents: An Open Platform for Language Agents in the Wild

osworld

OSWorld: A real computer environment for multimodal agents to evaluate open-ended computer tasks

text2reward

[ICLR 2024] Code for the paper "Text2Reward: Automated Dense Reward Function Generation for Reinforcement Learning"

unifiedskg

[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models

xlang-paper-reading

Paper collection on building and evaluating language model agents via executable language grounding