Akari Asai
Assistant Professor
Studies retrieval-augmented language models and reliable, efficient LLMs.
Akari Asai's lab at CMU works on large language models, knowledge, QA & retrieval and efficient training & inference. 23 papers since 2023, 11 at top venues, mostly ACL and Findings of EMNLP. 3 PhD students and 1 master's student. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 48%
- PhD students
- 3
- MS students
- 1
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 7 papers2026 · T1 4 · collecting
- 3 papers2025 · T1 2
- 5 papers2024 · T1 2
- 8 papers2023 · T1 3
T1 venuesOtherVenues: ACL, Findings of EMNLP, ICLR, ICML, COLING
Research focuspaper titles that use each topic's words
- Knowledge, QA & retrieval12 papers
- Large language models9 papers
- retrieval-augmented2 papers
- llms1 paper
- Efficient training & inference0 papers
Paper list
From the lab homepage.
20267 papers
- COLMAgentir: Reasoning-aware retrieval for deep research agents
- WWW (T1)Deep Research Comparator: A Platform For Fine-grained Human Annotations of Deep Research Agents
- ICML (T1)DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
- Nature (T1)OpenScholar: Synthesizing Scientific Literature with Retrieval-Augmented LMs
- EACLOut of Style: RAG’s Fragility to Linguistic Variation
- Advances in Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks TrackSoohak: A Mathematician-Curated Benchmark for Evaluating Research-level Math Capabilities of LLMs
- ICML (T1)Train for Truth, Keep the Skills: Binary Retrieval-Augmented Reward Mitigates Hallucinations
20253 papers
- Annual Conference of the Nations of the Americas Chapter of the Association for Computational LinguisticsCodeRAG-Bench: Can Retrieval Augment Code Generation?
- ICLR (T1)Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages
- COLING (T1)Quantifying the Influence of Evaluation Aspects on Long-Form Response Assessment
20245 papers
- Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL; Oral)BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer
- Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation
- COLMFine-grained Hallucination Detection and Editing for Language Models
- NeurIPS (T1)Scaling Retrieval-Based Language Models with a Trillion-Token Datastore
- ICLR (T1)Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
20238 papers
- Findings of EMNLPCross-lingual Open-Retrieval Question Answering for African Languages
- Findings of EMNLPHow to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval
- Thirty- Conference on Neural Information Processing Systems Datasets and Benchmarks TrackRealTime QA: What’s the Answer Right Now?
- ACL (T1)Retrieval-based Language Models and Applications
- Findings of ACLTask-aware Retrieval with Instructions
- Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)TaskWeb: Selecting Better Source Tasks for Multi-task NLP
- ACL (T1)When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories
- ACL (T1)xPQA: Cross-Lingual Product Question Answering in 12 Languages
Where alumni went
Alumni are not listed on the lab homepage.
Apply to CMUFall 2027
CMU SCS Computer Science PhD
- Round
- Single round
- Opens
- GRE
- See program page
- English
- TOEFL / IELTS / Duolingo (F-1/J-1 non-native speakers)
- Fee
- USD 100 (USD 80 by early deadline)
Confirmed on the program page.
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Data
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- The alumni list could not be found on the lab site.
- Collected
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- Members
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- Alumni
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