Oyvind Tafjord
33 papers · 2016–2025 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Research topics
Artificial Intelligence
(23)
Natural Language Processing
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Core AI
(23)
Machine Learning
(16)
Applications
(15)
Deep Learning
(9)
Learning Types Β· Machine Learning
(8)
Resources & Methods
(8)
Knowledge & Reasoning
(7)
Reasoning
(7)
Core Methods
(6)
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(5)
Generation
(5)
Models
(5)
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(3)
Keywords
question answering
(10)
language model
(8)
large language model
(5)
pre-trained language model
(5)
natural language inference
(4)
benchmark dataset
(3)
reading comprehension
(3)
knowledge distillation
(2)
entailment tree
(2)
neural network
(2)
agent system
(2)
multiple-choice question
(2)
knowledge representation
(2)
natural language processing
(2)
language modeling
(2)
text generation
(2)
multimodal learning
(2)
natural language understanding
(2)
textual entailment
(2)
qualitative reasoning
(2)
Papers
Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions
ICLR 2025
CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation
ACL 2025
DataDecide: How to Predict Best Pretraining Data with Small Experiments
ICML 2025
From Models to Microtheories: Distilling a Model's Topical Knowledge for Grounded Question-Answering
ICLR 2025
OLMES: A Standard for Language Model Evaluations
NAACL 2025
OLMoE: Open Mixture-of-Experts Language Models
ICLR 2025
Digital Socrates: Evaluating LLMs through Explanation Critiques
ACL 2024
DiscoveryWorld: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents
NeurIPS 2024
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
ACL 2024
Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic
EMNLP 2024
OLMo: Accelerating the Science of Language Models
ACL 2024
Paloma: A Benchmark for Evaluating Language Model Fit
NeurIPS 2024
Increasing Probability Mass on Answer Choices Does Not Always Improve Accuracy
EMNLP 2023
Language Models with Rationality
EMNLP 2023
Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning
EMNLP 2022
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
NeurIPS 2022
LILA: A Unified Benchmark for Mathematical Reasoning
EMNLP 2022
Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement
EMNLP 2022
BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief
EMNLP 2021
Explaining Answers with Entailment Trees
EMNLP 2021
βLet Your Characters Tell Their Storyβ: A Dataset for Character-Centric Narrative Understanding
EMNLP 2021
ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language
ACL 2021
Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge
NeurIPS 2020
SUPP.AI: finding evidence for supplement-drug interactions
ACL 2020
Transformers as Soft Reasoners over Language
IJCAI 2020
UNIFIEDQA: Crossing Format Boundaries with a Single QA System
EMNLP 2020
βYou are grounded!β: Latent Name Artifacts in Pre-trained Language Models
EMNLP 2020
Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming
AAAI 2019
QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships
AAAI 2019
QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions
EMNLP 2019
Reasoning Over Paragraph Effects in Situations
EMNLP 2019
AllenNLP: A Deep Semantic Natural Language Processing Platform
ACL 2018
Semantic Parsing to Probabilistic Programs for Situated Question Answering
EMNLP 2016