Nikolaos Pappas
31 papers · 2014–2026 · 9 venues · across top CS/AI venues
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Machine Learning
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Keywords
large language model
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machine translation
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representation learning
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recurrent neural network
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hierarchical attention
(3)
neural machine translation
(3)
linear attention
(2)
transformer architecture
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encoder-decoder architecture
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sequence modeling
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multi-task learning
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efficient computing
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inference efficiency
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hallucination detection
(2)
document-level translation
(2)
in-context learning
(2)
semantic parsing
(2)
knowledge distillation
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attention mechanism
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language modeling
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Papers
Journey Before Destination: On the importance of Visual Faithfulness in Slow Thinking
EACL 2026
DeAL: Decoding-time Alignment for Large Language Models
ACL 2025
Rethinking LLM Uncertainty: A Multi-Agent Approach to Estimating Black-Box Model Uncertainty
EMNLP 2025
Towards Long Context Hallucination Detection
NAACL 2025
Unraveling and Mitigating Safety Alignment Degradation of Vision-Language Models
ACL 2025
Backward Compatibility During Data Updates by Weight Interpolation
EACL 2024
DEM: Distribution Edited Model for Training with Mixed Data Distributions
EMNLP 2024
Eliciting Better Multilingual Structured Reasoning from LLMs through Code
ACL 2024
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets
NAACL 2024
Sequential Editing for Lifelong Training of Speech Recognition Models
Interspeech 2024
Conversation Style Transfer using Few-Shot Learning
IJCNLP 2023
Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing
EMNLP 2023
Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification
EMNLP 2023
VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens
NeurIPS 2023
ABC: Attention with Bounded-memory Control
ACL 2022
Modeling Context With Linear Attention for Scalable Document-Level Translation
EMNLP 2022
Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation
ICLR 2021
Finetuning Pretrained Transformers into RNNs
EMNLP 2021
Random Feature Attention
ICLR 2021
Sentence Bottleneck Autoencoders from Transformer Language Models
EMNLP 2021
Grounded Compositional Outputs for Adaptive Language Modeling
EMNLP 2020
Multilevel Text Alignment with Cross-Document Attention
EMNLP 2020
Plug and Play Autoencoders for Conditional Text Generation
EMNLP 2020
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention
ICML 2020
Deep Residual Output Layers for Neural Language Generation
ICML 2019
Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine Translation
EMNLP 2018
Document-Level Neural Machine Translation with Hierarchical Attention Networks
EMNLP 2018
Self-Attentive Residual Decoder for Neural Machine Translation
NAACL 2018
Multilingual Hierarchical Attention Networks for Document Classification
IJCNLP 2017
The SUMMA Platform Prototype
EACL 2017
Explaining the Stars: Weighted Multiple-Instance Learning for Aspect-Based Sentiment Analysis
EMNLP 2014