Kyle Lo
51 papers · 2018–2026 · 10 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.
Achievements
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🗺️ Taxonomy Completionist (70) 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
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Grand Slam
🔬
Deep Specialist
(13)
👥
Mega-Team · Legion
🏆
Keyword Champion
🧭
Keyword Pioneer
🤝
Dynamic Duo
(19)
🌈
Renaissance Researcher
(7)
🔥
Unstoppable · Bronze
❓
The Questioner
(2)
⚡
Prolific Year · Prolific
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Century Club · Silver
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Trend Setter
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Keyword Collector
(238)
Venues
Top co-authors
Research topics
Natural Language Processing
(41)
Machine Learning
(27)
Applications · Natural Language Processing
(25)
Artificial Intelligence
(21)
Core AI
(19)
Generation
(18)
Deep Learning
(16)
Learning Types · Machine Learning
(16)
Resources & Methods
(16)
Application Areas
(12)
Models
(11)
Computer Science
(8)
Applications · Computer Science
(8)
Learning Types · Deep Learning
(6)
Core Methods
(5)
Keywords
information retrieval
(12)
large language model
(12)
language model
(6)
question answering
(5)
text classification
(4)
information extraction
(4)
domain adaptation
(4)
scientific document
(4)
text generation
(4)
document summarization
(4)
multi-document summarization
(3)
multimodal learning
(3)
document understanding
(3)
text summarization
(3)
data curation
(3)
fact checking
(3)
natural language processing
(3)
claim verification
(3)
instruction following
(3)
vision-language model
(3)
Papers
The olmOCR Project: Building Fully Open OCR using VLMs
ACL 2026
DrawEduMath: Evaluating Vision Language Models with Expert-Annotated Students’ Hand-Drawn Math Images
NAACL 2025
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
NAACL 2025
Human-AI Collaboration: How AIs Augment Human Teammates
ACL 2025
Intent-aware Schema Generation and Refinement for Literature Review Tables
EMNLP 2025
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models
CVPR 2025
OLMoE: Open Mixture-of-Experts Language Models
ICLR 2025
Organize the Web: Constructing Domains Enhances Pre-Training Data Curation
ICML 2025
RouterRetriever: Routing over a Mixture of Expert Embedding Models
AAAI 2025
SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature
EMNLP 2025
ArxivDIGESTables: Synthesizing Scientific Literature into Tables using Language Models
EMNLP 2024
BooookScore: A systematic exploration of book-length summarization in the era of LLMs
ICLR 2024
DataComp-LM: In search of the next generation of training sets for language models
NeurIPS 2024
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
ACL 2024
InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification
ACL 2024
KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions
ACL 2024
MathFish: Evaluating Language Model Math Reasoning via Grounding in Educational Curricula
EMNLP 2024
OLMo: Accelerating the Science of Language Models
ACL 2024
One Thousand and One Pairs: A “novel” challenge for long-context language models
EMNLP 2024
Paloma: A Benchmark for Evaluating Language Model Fit
NeurIPS 2024
When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets
EACL 2024
A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documents
EMNLP 2023
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents
ACL 2023
Decomposing Complex Queries for Tip-of-the-tongue Retrieval
EMNLP 2023
LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization
EACL 2023
Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval
EMNLP 2023
PaperMage: A Unified Toolkit for Processing, Representing, and Manipulating Visually-Rich Scientific Documents
EMNLP 2023
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts
EMNLP 2022
Generating Scientific Claims for Zero-Shot Scientific Fact Checking
ACL 2022
MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting
NAACL 2022
Multi-LexSum: Real-world Summaries of Civil Rights Lawsuits at Multiple Granularities
NeurIPS 2022
MultiVerS: Improving scientific claim verification with weak supervision and full-document context
NAACL 2022
Overview of the Third Workshop on Scholarly Document Processing
COLING 2022
SciFact-Open: Towards open-domain scientific claim verification
EMNLP 2022
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset
NeurIPS 2022
A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers
NAACL 2021
Discourse Understanding and Factual Consistency in Abstractive Summarization
EACL 2021
Explaining Relationships Between Scientific Documents
ACL 2021
FLEX: Unifying Evaluation for Few-Shot NLP
NeurIPS 2021
Overview and Insights from the SCIVER shared task on Scientific Claim Verification
NAACL 2021
Overview of the Second Workshop on Scholarly Document Processing
NAACL 2021
CORD-19: The COVID-19 Open Research Dataset
ACL 2020
Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions
EMNLP 2020
Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks
ACL 2020
Fact or Fiction: Verifying Scientific Claims
EMNLP 2020
S2ORC: The Semantic Scholar Open Research Corpus
ACL 2020
TLDR: Extreme Summarization of Scientific Documents
EMNLP 2020
Combining Distant and Direct Supervision for Neural Relation Extraction
NAACL 2019
SciBERT: A Pretrained Language Model for Scientific Text
EMNLP 2019
Construction of the Literature Graph in Semantic Scholar
NAACL 2018
Ontology alignment in the biomedical domain using entity definitions and context
ACL 2018