XLANG NLP Lab

Binder

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

DS-1000

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

instructor-embedding

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

OpenAgents

[COLM 2024] OpenAgents: An Open Platform for Language Agents in the Wild

OSWorld

[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

Spider2

Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Spider2-V

[NeurIPS 2024] Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?

text2reward

[ICLR 2024 Spotlight] Code for the paper "Text2Reward: Reward Shaping with Language Models 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

xlang-ai/OpenAgents

[COLM 2024] OpenAgents: An Open Platform for Language Agents in the Wild

xlang-ai/instructor-embedding

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

xlang-ai/OSWorld

[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

xlang-ai/UnifiedSKG

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

xlang-ai/xlang-paper-reading

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

xlang-ai/Binder

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

xlang-ai/Spider2

Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

xlang-ai/DS-1000

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

xlang-ai/text2reward

[ICLR 2024 Spotlight] Code for the paper "Text2Reward: Reward Shaping with Language Models for Reinforcement Learning"

xlang-ai/Spider2-V

[NeurIPS 2024] Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?

xlang-ai/icl-selective-annotation

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

xlang-ai/aguvis

Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction

xlang-ai/batch-prompting

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

xlang-ai/BRIGHT

BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

xlang-ai/EVOR

xlang-ai/diagrams_toolkit

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

xlang-ai/.github

xlang-ai/Pai-Megatron-Patch

The official repo of Pai-Megatron-Patch for LLM & VLM large scale training developed by Alibaba Cloud.