XLANG NLP Lab's repositories
OpenAgents
[COLM 2024] OpenAgents: An Open Platform for Language Agents in the Wild
instructor-embedding
[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings
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
text2reward
[ICLR 2024] Code for the paper "Text2Reward: Automated Dense Reward Function Generation for Reinforcement Learning"
icl-selective-annotation
[ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"
batch-prompting
[EMNLP 2023 Industry Track] A simple prompting approach that enables the LLMs to run inference in batches.
diagrams_toolkit
Source code for diagrams in the paper of NLPers from HKU.