Nicholas Andrews
29 papers · 2008–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (17) π§ Keyword Pioneer π Conference Polyglot (9) π Interdisciplinary Bridge π£ Hot Topic Early Bird
π
Cross-Pollinator
(11)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π€
Dynamic Duo
(12)
π±
Topic Pioneer
π§¬
Topic Evolution
π
Century Club
(28)
π
Trend Setter
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(92)
β
The Questioner
π₯
Unstoppable
(9)
Conferences
ACL (9)
EMNLP (9)
NAACL (4)
IJCNLP (2)
AACL (1)
CONLL (1)
EACL (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
financial forecasting
(4)
transfer learning
(4)
time series forecasting
(3)
metric learning
(3)
multimodal learning
(3)
language model
(3)
text classification
(3)
user embedding
(2)
invariant representation
(2)
social media analysis
(2)
multi-task learning
(2)
vector space
(2)
parameter sharing
(2)
time series
(2)
named entity recognition
(2)
representation learning
(2)
cross-modal alignment
(2)
embedding learning
(1)
model calibration
(1)
few-shot learning
(1)
Papers
CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data
ACL 2026
Multimodal Language Models for Financial Forecasting from Interleaved Sequences of Text and Time Series
AACL 2025
Mitigating Paraphrase Attacks on Machine-Text Detection via Paraphrase Inversion
ACL 2025
Learning Extrapolative Sequence Transformations from Markov Chains
ICML 2025
Multimodal Language Models for Financial Forecasting from Interleaved Sequences of Text and Time Series
IJCNLP 2025
Financial Forecasting from Textual and Tabular Time Series
EMNLP 2024
Multi-Task Transfer Matters During Instruction-Tuning
ACL 2024
AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies
EMNLP 2024
Few-Shot Detection of Machine-Generated Text using Style Representations
ICLR 2024
Learning to Compare Financial Reports for Financial Forecasting
EACL 2024
Forecasting Earnings Surprises from Conference Call Transcripts
ACL 2023
Do Text-to-Text Multi-Task Learners Suffer from Task Conflict?
EMNLP 2022
A Deep Metric Learning Approach to Account Linking
NAACL 2021
Learning Universal Authorship Representations
EMNLP 2021
Sources of Transfer in Multilingual Named Entity Recognition
ACL 2020
Ensemble Distillation for Structured Prediction: Calibrated, Accurate, FastβChoose Three
EMNLP 2020
Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning
ACL 2020
Learning Invariant Representations of Social Media Users
IJCNLP 2019
Learning Invariant Representations of Social Media Users
EMNLP 2019
Convolutions Are All You Need (For Classifying Character Sequences)
EMNLP 2018
Predicting Twitter User Demographics from Names Alone
NAACL 2018
Bayesian Modeling of Lexical Resources for Low-Resource Settings
ACL 2017
A Concrete Chinese NLP Pipeline
NAACL 2015
Robust Entity Clustering via Phylogenetic Inference
ACL 2014
PARMA: A Predicate Argument Aligner
ACL 2013
Name Phylogeny: A Generative Model of String Variation
CONLL 2012
Entity Clustering Across Languages
NAACL 2012
Name Phylogeny: A Generative Model of String Variation
EMNLP 2012
Seeded Discovery of Base Relations in Large Corpora
EMNLP 2008