NLPExplorer

Kyle Richardson

Number of Papers:- 29

Number of Citations:- 9

First ACL Paper:- 2012

Latest ACL Paper:- 2024

Venues:-

NAACL

IWCS

COLING

Findings

ACL

BlackboxNLP

EMNLP

*SEM

TACL

LREC

INLG

Co-Authors:-

Aakanksha Naik

Abhilasha Ravichander

Akshita Bhagia

Ananya Jha

Antoine Bosselut

Similar Authors:-

Weinila Mushajiang

Kahaerjiang Abiderexiti

Marhaba Eli

Erica Meena

Ashwani Kumar

TimeArena: Shaping Efficient Multitasking Language Agents in a Time-Aware Simulation ACL

OLMo: Accelerating the Science of Language Models ACL

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research ACL

DISCO: Distilling Counterfactuals with Large Language Models ACL

Language Models with Rationality EMNLP

Hey AI, Can You Solve Complex Tasks by Talking to Agents? ACL Findings

Tushar Khot | Kyle Richardson | Daniel Khashabi | Ashish Sabharwal |

DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained Neural Text2Text Language Models *SEM NAACL

Gregor Betz | Kyle Richardson |

Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts NAACL

Dyna-bAbI: unlocking bAbI’s potential with dynamic synthetic benchmarking *SEM NAACL

Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts EMNLP

Ben Zhou | Kyle Richardson | Xiaodong Yu | Dan Roth |

What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment EMNLP

Matthew Finlayson | Kyle Richardson | Ashish Sabharwal | Peter Clark |

Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs EMNLP

Temporal Reasoning on Implicit Events from Distant Supervision NAACL

Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models NAACL

Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference Findings

Critical Thinking for Language Models IWCS

Gregor Betz | Christian Voigt | Kyle Richardson |

CLUE: A Chinese Language Understanding Evaluation Benchmark COLING

Kyle Richardson

Number of Papers:- 29

Number of Citations:- 9

First ACL Paper:- 2012

Latest ACL Paper:- 2024

Venues:-

Co-Authors:-

Similar Authors:-

TimeArena: Shaping Efficient Multitasking Language Agents in a Time-Aware Simulation ACL

OLMo: Accelerating the Science of Language Models ACL

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research ACL

DISCO: Distilling Counterfactuals with Large Language Models ACL

Language Models with Rationality EMNLP

Hey AI, Can You Solve Complex Tasks by Talking to Agents? ACL Findings

DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained Neural Text2Text Language Models *SEM NAACL

Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts NAACL

Dyna-bAbI: unlocking bAbI’s potential with dynamic synthetic benchmarking *SEM NAACL

Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts EMNLP

What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment EMNLP

Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs EMNLP

Temporal Reasoning on Implicit Events from Distant Supervision NAACL

Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models NAACL

Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference Findings

Critical Thinking for Language Models IWCS

CLUE: A Chinese Language Understanding Evaluation Benchmark COLING

A Dataset for Tracking Entities in Open Domain Procedural Text EMNLP

OCNLI: Original Chinese Natural Language Inference EMNLP Findings

Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation BlackboxNLP EMNLP

What Does My QA Model Know? Devising Controlled Probes Using Expert Knowledge TACL

Polyglot Semantic Parsing in APIs NAACL

Function Assistant: A Tool for NL Querying of APIs EMNLP

Learning Semantic Correspondences in Technical Documentation ACL

The Code2Text Challenge: Text Generation in Source Libraries INLG WS

Learning to Make Inferences in a Semantic Parsing Task TACL

UnixMan Corpus: A Resource for Language Learning in the Unix Domain LREC

An Automatic Method for Building a Data-to-Text Generator WS

Light Textual Inference for Semantic Parsing COLING