Kyle Richardson
34 papers · 2012–2025 · 9 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(26)
Core AI
(23)
Natural Language Processing
(22)
Machine Learning
(15)
Deep Learning
(14)
Applications
(12)
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(9)
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Understanding
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(6)
Generation
(6)
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(4)
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(3)
Keywords
large language model
(6)
semantic parsing
(4)
natural language inference
(4)
question answering
(3)
task decomposition
(3)
language model
(3)
code generation
(3)
transformer model
(2)
natural language to code
(2)
multi-agent system
(2)
language agent
(2)
pre-trained language model
(2)
text classification
(2)
natural language interface
(2)
logical reasoning
(2)
compositional generalization
(2)
temporal reasoning
(2)
natural language understanding
(2)
chinese language
(2)
data augmentation
(1)
Papers
SELFGOAL: Your Language Agents Already Know How to Achieve High-level Goals
NAACL 2025
TinyScientist: An Interactive, Extensible, and Controllable Framework for Building Research Agents
EMNLP 2025
Understanding the Logic of Direct Preference Alignment through Logic
ICML 2025
ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning
ICML 2025
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
ACL 2024
Event Causality Identification with Synthetic Control
EMNLP 2024
OLMo: Accelerating the Science of Language Models
ACL 2024
Paloma: A Benchmark for Evaluating Language Model Fit
NeurIPS 2024
SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories
EMNLP 2024
TimeArena: Shaping Efficient Multitasking Language Agents in a Time-Aware Simulation
ACL 2024
Decomposed Prompting: A Modular Approach for Solving Complex Tasks
ICLR 2023
DISCO: Distilling Counterfactuals with Large Language Models
ACL 2023
Language Models with Rationality
EMNLP 2023
Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs
EMNLP 2022
DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained Neural Text2Text Language Models
NAACL 2022
Dyna-bAbI: unlocking bAbIβs potential with dynamic synthetic benchmarking
NAACL 2022
Hey AI, Can You Solve Complex Tasks by Talking to Agents?
ACL 2022
Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts
EMNLP 2022
Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts
NAACL 2022
Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability
AAAI 2022
What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment
EMNLP 2022
Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference
ACL 2021
Temporal Reasoning on Implicit Events from Distant Supervision
NAACL 2021
Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models
NAACL 2021
A Dataset for Tracking Entities in Open Domain Procedural Text
EMNLP 2020
CLUE: A Chinese Language Understanding Evaluation Benchmark
COLING 2020
Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation
EMNLP 2020
OCNLI: Original Chinese Natural Language Inference
EMNLP 2020
Probing Natural Language Inference Models through Semantic Fragments
AAAI 2020
Transformers as Soft Reasoners over Language
IJCAI 2020
Polyglot Semantic Parsing in APIs
NAACL 2018
Function Assistant: A Tool for NL Querying of APIs
EMNLP 2017
Learning Semantic Correspondences in Technical Documentation
ACL 2017
Light Textual Inference for Semantic Parsing
COLING 2012