Mike Lewis
70 papers · 2013–2025 · 6 venues · across top CS/AI venues
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Achievements
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(37)
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Keyword Trendsetter Combo
(7)
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Prolific Year Β· Prolific
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Unstoppable Β· Silver
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The Questioner
(2)
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(7)
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Research topics
Natural Language Processing
(48)
Deep Learning
(33)
Artificial Intelligence
(31)
Machine Learning
(31)
Core AI
(29)
Generation
(28)
Applications
(18)
Learning Types Β· Deep Learning
(18)
Resources & Methods
(14)
Learning Types Β· Machine Learning
(13)
Application Areas
(9)
Models
(9)
Optimization & Theory
(8)
Techniques
(8)
Architectures
(7)
Keywords
language model
(12)
large language model
(9)
language modeling
(8)
in-context learning
(6)
semantic parsing
(5)
zero-shot learning
(5)
question answering
(5)
few-shot learning
(5)
neural network
(4)
retrieval-augmented generation
(4)
dialogue system
(4)
domain adaptation
(4)
model compression
(4)
text generation
(4)
slot filling
(3)
information retrieval
(3)
machine translation
(3)
attention mechanism
(3)
instruction tuning
(3)
code generation
(2)
Papers
BTS: Harmonizing Specialized Experts into a Generalist LLM
EMNLP 2025
Byte Latent Transformer: Patches Scale Better Than Tokens
ACL 2025
Compute Optimal Scaling of Skills: Knowledge vs Reasoning
ACL 2025
Law of the Weakest Link: Cross Capabilities of Large Language Models
ICLR 2025
Effective Long-Context Scaling of Foundation Models
NAACL 2024
Efficient Streaming Language Models with Attention Sinks
ICLR 2024
In-Context Pretraining: Language Modeling Beyond Document Boundaries
ICLR 2024
RA-DIT: Retrieval-Augmented Dual Instruction Tuning
ICLR 2024
REPLUG: Retrieval-Augmented Black-Box Language Models
NAACL 2024
Self-Alignment with Instruction Backtranslation
ICLR 2024
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding
NAACL 2024
AutoReply: Detecting Nonsense in Dialogue with Discriminative Replies
EMNLP 2023
Coder Reviewer Reranking for Code Generation
ICML 2023
Contrastive Decoding: Open-ended Text Generation as Optimization
ACL 2023
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
EMNLP 2023
InCoder: A Generative Model for Code Infilling and Synthesis
ICLR 2023
In-context Examples Selection for Machine Translation
ACL 2023
LIMA: Less Is More for Alignment
NeurIPS 2023
Measuring and Narrowing the Compositionality Gap in Language Models
EMNLP 2023
MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers
NeurIPS 2023
Nonparametric Masked Language Modeling
ACL 2023
Progressive Prompts: Continual Learning for Language Models
ICLR 2023
Residual Prompt Tuning: improving prompt tuning with residual reparameterization
ACL 2023
Retrieval-Augmented Multimodal Language Modeling
ICML 2023
8-bit Optimizers via Block-wise Quantization
ICLR 2022
DEMix Layers: Disentangling Domains for Modular Language Modeling
NAACL 2022
GPT3.int8(): 8-bit Matrix Multiplication for Transformers at Scale
NeurIPS 2022
HTLM: Hyper-Text Pre-Training and Prompting of Language Models
ICLR 2022
Improving Passage Retrieval with Zero-Shot Question Generation
EMNLP 2022
MetaICL: Learning to Learn In Context
NAACL 2022
Noisy Channel Language Model Prompting for Few-Shot Text Classification
ACL 2022
Question Answering Infused Pre-training of General-Purpose Contextualized Representations
ACL 2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
EMNLP 2022
Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models
NAACL 2022
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
ICLR 2022
Tricks for Training Sparse Translation Models
NAACL 2022
BASE Layers: Simplifying Training of Large, Sparse Models
ICML 2021
Joint Verification and Reranking for Open Fact Checking Over Tables
ACL 2021
Multitasking Inhibits Semantic Drift
NAACL 2021
Nearest Neighbor Machine Translation
ICLR 2021
Shortformer: Better Language Modeling using Shorter Inputs
ACL 2021
Asking and Answering Questions to Evaluate the Factual Consistency of Summaries
ACL 2020
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
ACL 2020
Conversational Semantic Parsing
EMNLP 2020
Generalization through Memorization: Nearest Neighbor Language Models
ICLR 2020
Grounded Adaptation for Zero-shot Executable Semantic Parsing
EMNLP 2020
Pre-training via Paraphrasing
NeurIPS 2020
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
NeurIPS 2020
Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog
NAACL 2019
Generative Question Answering: Learning to Answer the Whole Question
ICLR 2019
Hierarchical Decision Making by Generating and Following Natural Language Instructions
NeurIPS 2019
Proceedings of the First Workshop on NLP for Conversational AI
ACL 2019
Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog
EMNLP 2019
Strategies for Structuring Story Generation
ACL 2019
A Dataset for Telling the Stories of Social Media Videos
EMNLP 2018
Hierarchical Neural Story Generation
ACL 2018
Hierarchical Text Generation and Planning for Strategic Dialogue
ICML 2018
Neural Compositional Denotational Semantics for Question Answering
EMNLP 2018
Semantic Parsing for Task Oriented Dialog using Hierarchical Representations
EMNLP 2018
A Corpus of Natural Language for Visual Reasoning
ACL 2017
Deal or No Deal? End-to-End Learning of Negotiation Dialogues
EMNLP 2017
Deep Semantic Role Labeling: What Works and Whatβs Next
ACL 2017
End-to-end Neural Coreference Resolution
EMNLP 2017
Global Neural CCG Parsing with Optimality Guarantees
EMNLP 2016
Human-in-the-Loop Parsing
EMNLP 2016
LSTM CCG Parsing
NAACL 2016
Joint A* CCG Parsing and Semantic Role Labelling
EMNLP 2015
Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language
EMNLP 2015
A* CCG Parsing with a Supertag-factored Model
EMNLP 2014
Unsupervised Induction of Cross-Lingual Semantic Relations
EMNLP 2013