INK Lab @ USC (INK-USC)

INK Lab @ USC

INK-USC

Geek Repo

Intelligence and Knowledge Discovery (INK) Research Lab at University of Southern California

Location:Los Angelas, CA

Home Page:http://inklab.usc.edu/

Github PK Tool:Github PK Tool

INK Lab @ USC's repositories

RE-Net

Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs (EMNLP 2020)

TriggerNER

TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition (ACL 2020)

AlpacaTag

AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging (ACL 2019 Demo)

CommonGen

A Constrained Text Generation Challenge Towards Generative Commonsense Reasoning

Language:PythonLicense:MITStargazers:137Issues:8Issues:0

CrossFit

Code for paper "CrossFit :weight_lifting:: A Few-shot Learning Challenge for Cross-task Generalization in NLP" (https://arxiv.org/abs/2104.08835)

fewNER

Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER (ACL 2022)

DIG

Discretized Integrated Gradients for Explaining Language Models (EMNLP 2021)

Language:PythonLicense:MITStargazers:24Issues:5Issues:1

ReCross

ReCross: Unsupervised Cross-Task Generalization via Retrieval Augmentation

Language:PythonLicense:MITStargazers:22Issues:2Issues:1

VisCOLL

Code and data for the project "Visually grounded continual learning of compositional semantics"

NumerSense

The data and code for NumerSense (EMNLP2020)

Language:PythonLicense:MITStargazers:19Issues:5Issues:0

HGN

Learning Contextualized Knowledge Structures for Commonsense Reasoning

Language:PythonStargazers:17Issues:5Issues:0

GMED

Source code for "Gradient Based Memory Editing for Task-Free Continual Learning", 4th Lifelong ML Workshop@ICML 2020

FaiRR

FaiRR: Faithful and Robust Deductive Reasoning over Natural Language (ACL 2022)

Language:PythonLicense:MITStargazers:14Issues:4Issues:0

SalKG

This is the official PyTorch implementation of our NeurIPS 2021 paper: "SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning"

FiD-ICL

"FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning" (ACL 2023)

Language:PythonStargazers:12Issues:2Issues:0

sparse-distillation

Code for "Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models"

Language:PythonLicense:MITStargazers:12Issues:2Issues:0

entity-robustness

Code and data for paper "On the Robustness of Reading Comprehension Models to Entity Renaming" (NAACL'22)

Reflect

Data and Code for Paper "Reflect Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality" (EMNLP 2022)

BITE

Code and data for paper "BITE: Textual Backdoor Attacks with Iterative Trigger Injection"

Language:PythonStargazers:9Issues:3Issues:0

XMD

XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models

Language:VueStargazers:7Issues:1Issues:0
Language:PythonLicense:MITStargazers:6Issues:2Issues:0

RobustLR

A Diagnostic Benchmark for Evaluating Logical Robustness of Deductive Reasoners

Language:PythonLicense:MITStargazers:6Issues:3Issues:0

LINK

Code for paper "In Search of the Long-Tail: Systematic Generation of Long-Tail Knowledge via Logical Rule Guided Search"

Language:PythonLicense:MITStargazers:5Issues:2Issues:0

RationaleHumanUtility

Codebase for Human Utility of FTRs at ACL 2023

Language:PythonStargazers:5Issues:2Issues:0

RationaleMultiRewardDistillation

Code and Dataset for preprint titled "Tailoring Self-Rationalizers with Multi-Reward Distillation"

Language:PythonStargazers:4Issues:3Issues:0

ER-Test

Code for ER-Test, accepted to the Findings of EMNLP 2022

Language:PythonLicense:MITStargazers:3Issues:3Issues:0

CrossTaskMoE

Code for paper "Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts" (Findings of EMNLP 2022)

Language:PythonStargazers:2Issues:2Issues:0

ink-usc.github.io

INK Research Lab Website

Language:JavaScriptLicense:NOASSERTIONStargazers:2Issues:0Issues:0

predicting-big-bench

Code for paper "How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench"

Language:PythonLicense:Apache-2.0Stargazers:2Issues:0Issues:0
Language:PythonStargazers:0Issues:3Issues:0