Emily Allaway
Chancellor's Fellow (AI and Datascience)
Runs the Meaning, Language and Explainability Lab, studying how language models understand generics, commonsense and stance.
Emily Allaway's lab at Edinburgh works on large language models, trustworthy & safe ML and human-AI collaboration & trust. 11 papers since 2023, 3 at top venues, mostly COLING and EACL. 7 PhD students.
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 27%
- PhD students
- 7
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 3 papers2026 · T1 0 · collecting
- 4 papers2025 · T1 3
- 1 papers2024 · T1 0
- 3 papers2023 · T1 0
T1 venuesOtherVenues: COLING, EACL, EMNLP, Findings of EMNLP, NAACL
Research focuspaper titles that use each topic's words
- Large language models6 papers
- Trustworthy & safe ML0 papers
- Human-AI collaboration & trust0 papers
- explainability0 papers
- commonsense0 papers
Paper list
From the lab homepage.
20263 papers
- EACL FindingsAnalyzing LLM Instruction Optimization for Tabular Fact Verification
- CogSciConcepts in terms of other Concepts: a method for the analysis of collective word use
- ACL FindingsGenerics are not quantificational: A new path from language models to semantic theory
20254 papers
- NAACL (T1)Evaluating Defeasible Reasoning in LLMs with DEFREASING
- COLING (T1)Generics are Puzzling. Can language models find the missing piece?
- SCiLMGen: Millions of Naturally Occurring Generics in Context
- EMNLP (T1)VISaGE: Understanding Visual Generics and Exceptions
20241 paper
- Computational Linguistics: Special Issue on Language Learning, Representation, and Processing in Humans and MachinesExceptions, Instantiations, and Overgeneralization: Insights into How Language Models Process Generics
20233 papers
- Findings of EMNLPBeyond Denouncing Hate: Strategies for Countering Implied Biases and Stereotypes in Language
- EACLPenguins Don't Fly: Reasoning about Generics through Instantiations and Exceptions
- Frontiers of Artificial IntelligenceZero-Shot Stance Detection: Paradigms and Challenges
Where alumni went
Alumni are not listed on the lab homepage.
Apply to EdinburghFall 2027
Not announced yet
Informatics PhD
- Round
- Rolling (funding consideration)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- none
Not yet confirmed for this intake.
Similar labsnearest by research summary
- USNYU
Eunsol Choi
- Knowledge, QA & retrieval
- USMichigan
Rada Mihalcea
- Language & society
- CNPeking
Houfeng Wang
- Knowledge, QA & retrieval
- SGNTU
Erik Cambria
- Reasoning & agents
- USNYU
Greg Durrett
- Large language models
- CNPeking
Xiaojun Wan
- Dialogue, generation & summarization
Your notes
Save this lab to keep notes.
Data
Some numbers could not be verified:
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.