Mike Lewis
73 papers · 2013–2025 · 7 conferences · across top CS/AI conferences
Achievements
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Interdisciplinary Bridge
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(11)
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Keyword Trendsetter Combo
(5)
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(20)
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Dynamic Duo
(38)
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Mega-Team
(21)
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Triple Crown
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Topic Pioneer
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Topic Evolution
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Century Club
(73)
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The Questioner
(2)
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Trend Setter
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(7)
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Unstoppable
(13)
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Keyword Collector
(244)
Conferences
EMNLP (20)
ACL (17)
ICLR (13)
NAACL (10)
NIPS (6)
ICML (4)
IJCNLP (3)
Top co-authors
Keywords
language model
(10)
large language model
(7)
semantic parsing
(6)
language modeling
(5)
few-shot learning
(5)
in-context learning
(5)
dialogue system
(4)
neural network
(4)
text generation
(4)
question answering
(4)
model compression
(4)
zero-shot learning
(4)
retrieval-augmented generation
(3)
efficient computing
(3)
slot filling
(3)
task-oriented dialog
(3)
coreference resolution
(2)
intent classification
(2)
domain adaptation
(2)
transfer learning
(2)
Papers
Byte Latent Transformer: Patches Scale Better Than Tokens
ACL 2025
Law of the Weakest Link: Cross Capabilities of Large Language Models
ICLR 2025
BTS: Harmonizing Specialized Experts into a Generalist LLM
EMNLP 2025
Compute Optimal Scaling of Skills: Knowledge vs Reasoning
ACL 2025
Effective Long-Context Scaling of Foundation Models
NAACL 2024
In-Context Pretraining: Language Modeling Beyond Document Boundaries
ICLR 2024
RA-DIT: Retrieval-Augmented Dual Instruction Tuning
ICLR 2024
Efficient Streaming Language Models with Attention Sinks
ICLR 2024
Self-Alignment with Instruction Backtranslation
ICLR 2024
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding
NAACL 2024
REPLUG: Retrieval-Augmented Black-Box Language Models
NAACL 2024
Progressive Prompts: Continual Learning for Language Models
ICLR 2023
LIMA: Less Is More for Alignment
NIPS 2023
Measuring and Narrowing the Compositionality Gap in Language Models
EMNLP 2023
AutoReply: Detecting Nonsense in Dialogue with Discriminative Replies
EMNLP 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
Contrastive Decoding: Open-ended Text Generation as Optimization
ACL 2023
Nonparametric Masked Language Modeling
ACL 2023
Residual Prompt Tuning: improving prompt tuning with residual reparameterization
ACL 2023
Retrieval-Augmented Multimodal Language Modeling
ICML 2023
In-context Examples Selection for Machine Translation
ACL 2023
Coder Reviewer Reranking for Code Generation
ICML 2023
MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers
NIPS 2023
Question Answering Infused Pre-training of General-Purpose Contextualized Representations
ACL 2022
HTLM: Hyper-Text Pre-Training and Prompting of Language Models
ICLR 2022
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
ICLR 2022
8-bit Optimizers via Block-wise Quantization
ICLR 2022
DEMix Layers: Disentangling Domains for Modular Language Modeling
NAACL 2022
Tricks for Training Sparse Translation Models
NAACL 2022
GPT3.int8(): 8-bit Matrix Multiplication for Transformers at Scale
NIPS 2022
Noisy Channel Language Model Prompting for Few-Shot Text Classification
ACL 2022
MetaICL: Learning to Learn In Context
NAACL 2022
Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models
NAACL 2022
Improving Passage Retrieval with Zero-Shot Question Generation
EMNLP 2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
EMNLP 2022
Joint Verification and Reranking for Open Fact Checking Over Tables
IJCNLP 2021
Shortformer: Better Language Modeling using Shorter Inputs
ACL 2021
Nearest Neighbor Machine Translation
ICLR 2021
Multitasking Inhibits Semantic Drift
NAACL 2021
Joint Verification and Reranking for Open Fact Checking Over Tables
ACL 2021
BASE Layers: Simplifying Training of Large, Sparse Models
ICML 2021
Shortformer: Better Language Modeling using Shorter Inputs
IJCNLP 2021
Grounded Adaptation for Zero-shot Executable Semantic Parsing
EMNLP 2020
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
NIPS 2020
Pre-training via Paraphrasing
NIPS 2020
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
Hierarchical Decision Making by Generating and Following Natural Language Instructions
NIPS 2019
Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog
EMNLP 2019
Generative Question Answering: Learning to Answer the Whole Question
ICLR 2019
Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog
IJCNLP 2019
Proceedings of the First Workshop on NLP for Conversational AI
ACL 2019
Strategies for Structuring Story Generation
ACL 2019
Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog
NAACL 2019
Hierarchical Neural Story Generation
ACL 2018
Semantic Parsing for Task Oriented Dialog using Hierarchical Representations
EMNLP 2018
Neural Compositional Denotational Semantics for Question Answering
EMNLP 2018
A Dataset for Telling the Stories of Social Media Videos
EMNLP 2018
Hierarchical Text Generation and Planning for Strategic Dialogue
ICML 2018
Deep Semantic Role Labeling: What Works and Whatβs Next
ACL 2017
Deal or No Deal? End-to-End Learning of Negotiation Dialogues
EMNLP 2017
End-to-end Neural Coreference Resolution
EMNLP 2017
A Corpus of Natural Language for Visual Reasoning
ACL 2017
Human-in-the-Loop Parsing
EMNLP 2016
Global Neural CCG Parsing with Optimality Guarantees
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