Ben Athiwaratkun
17 papers · 2017–2025 · 5 venues · across top CS/AI venues
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Machine Learning
(13)
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large language model
(4)
generative model
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named entity recognition
(2)
semi-supervised learning
(1)
few-shot learning
(1)
structured prediction
(1)
adversarial robustness
(1)
code completion
(1)
relation extraction
(1)
token alignment
(1)
efficient inference
(1)
code generation
(1)
model architecture
(1)
intent classification
(1)
semantic role labeling
(1)
sequence labeling
(1)
weak supervision
(1)
model parallelism
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distributed computing
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multi-task learning
(1)
Papers
Improving Model Alignment Through Collective Intelligence of Open-Source Models
ICML 2025
Ladder-Residual: Parallelism-Aware Architecture for Accelerating Large Model Inference with Communication Overlapping
ICML 2025
Mixture-of-Agents Enhances Large Language Model Capabilities
ICLR 2025
Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation
ICLR 2025
Training-Free Activation Sparsity in Large Language Models
ICLR 2025
Bifurcated Attention for Single-Context Large-Batch Sampling
ICML 2024
Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies
EMNLP 2024
RedPajama: an Open Dataset for Training Large Language Models
NeurIPS 2024
Token Alignment via Character Matching for Subword Completion
ACL 2024
Multi-lingual Evaluation of Code Generation Models
ICLR 2023
Generative Context Pair Selection for Multi-hop Question Answering
EMNLP 2021
Structured Prediction as Translation between Augmented Natural Languages
ICLR 2021
Augmented Natural Language for Generative Sequence Labeling
EMNLP 2020
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
ICLR 2019
Hierarchical Density Order Embeddings
ICLR 2018
Probabilistic FastText for Multi-Sense Word Embeddings
ACL 2018
Multimodal Word Distributions
ACL 2017