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Tag: paper
91 items with this tag.
Sep 24, 2026
Re-TACRED: Addressing Shortcomings of the TACRED Dataset
paper
dataset
relation-extraction
Sep 24, 2026
Refining Sample Embeddings with Relation Prototypes to Enhance Continual Relation Extraction
paper
continual-learning
relation-extraction
Sep 24, 2026
Sentence Embedding Alignment for Lifelong Relation Extraction
paper
continual-learning
relation-extraction
Sep 24, 2026
Serial Contrastive Knowledge Distillation for Continual Few-shot Relation Extraction
paper
continual-learning
relation-extraction
distillation
Sep 24, 2026
The Power of Scale for Parameter-Efficient Prompt Tuning
paper
prompting
peft
Sep 24, 2026
WAVE++: Capturing Within-Task Variance for Continual Relation Extraction with Adaptive Prompting
paper
continual-learning
relation-extraction
prompting
Sep 24, 2026
iCaRL: Incremental Classifier and Representation Learning
paper
continual-learning
prototype-learning
Sep 24, 2026
An Ensemble-of-Experts Framework for Rehearsal-free Continual Relation Extraction
paper
continual-learning
relation-extraction
Sep 24, 2026
Attention Is All You Need
paper
transformer
attention
nlp
Sep 24, 2026
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning
paper
continual-learning
prompting
Sep 24, 2026
Consistent Prompting for Rehearsal-Free Continual Learning
paper
continual-learning
prompting
Sep 24, 2026
Consistent Prototype Learning for Few-Shot Continual Relation Extraction
paper
continual-learning
relation-extraction
few-shot-learning
Sep 24, 2026
Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation
paper
continual-learning
relation-extraction
Sep 24, 2026
Continual Relation Learning via Episodic Memory Activation and Reconsolidation
paper
continual-learning
relation-extraction
Sep 24, 2026
Dark Experience for General Continual Learning: a Strong, Simple Baseline
paper
continual-learning
distillation
Sep 24, 2026
Distilling the Knowledge in a Neural Network
paper
model-compression
distillation
continual-learning
Sep 24, 2026
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning
paper
continual-learning
prompting
Sep 24, 2026
Dynamic-prototype Contrastive Fine-tuning for Continual Few-shot Relation Extraction with Unseen Relation Detection
paper
continual-learning
relation-extraction
Sep 24, 2026
Enhancing Discriminative Representation in Similar Relation Clusters for Few-Shot Continual Relation Extraction
paper
continual-learning
relation-extraction
Sep 24, 2026
FPrompt-PLM: Flexible-Prompt on Pretrained Language Model for Continual Few-Shot Relation Extraction
paper
relation-extraction
continual-learning
Sep 24, 2026
Few-Shot, No Problem: Descriptive Continual Relation Extraction
paper
continual-learning
relation-extraction
Sep 24, 2026
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation
paper
dataset
relation-extraction
Sep 24, 2026
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality
paper
continual-learning
prompting
Sep 24, 2026
Hierarchical Prompts for Rehearsal-free Continual Learning
paper
continual-learning
prompting
Sep 24, 2026
Learning to Prompt for Continual Learning
paper
continual-learning
prompting
Sep 24, 2026
Learning without Forgetting
paper
continual-learning
distillation
Sep 24, 2026
MPBoCo: Multimodal Prompt-based Boundary-enhanced Continual Framework for Joint Entity and Relation Extraction
paper
continual-learning
relation-extraction
multimodal
Sep 24, 2026
Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors
paper
continual-learning
continual-relation-extraction
few-shot-learning
relation-extraction
Sep 24, 2026
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
paper
distillation
semi-supervised-learning
Sep 24, 2026
Mitigating Non-Representative Prototypes and Representation Bias in Few-Shot Continual Relation Extraction
paper
continual-learning
relation-extraction
Sep 24, 2026
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
paper
prompting
peft
Sep 24, 2026
Prefix-Tuning: Optimizing Continuous Prompts for Generation
paper
prompting
peft
Sep 24, 2026
Progressive Prompts: Continual Learning for Language Models
paper
continual-learning
prompting
Sep 24, 2026
Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective
paper
continual-learning
relation-extraction
prompting
Sep 24, 2026
Continual Learning
moc
continual-learning
paper
nlp
Sep 24, 2026
Paper Note
paper
Sep 24, 2026
2025 - We Cant Understand AI Using Our Existing Vocabulary
cs224n
paper
Sep 24, 2026
2011 - Natural Language Processing Almost from Scratch
cs224n
paper
Sep 24, 2026
2013 - Distributed Representations of Words and Phrases and their Compositionality
cs224n
paper
Sep 24, 2026
2013 - Efficient Estimation of Word Representations in Vector Space
cs224n
paper
Sep 24, 2026
2013 - On the Difficulty of Training Recurrent Neural Networks
cs224n
paper
Sep 24, 2026
2014 - GloVe - Global Vectors for Word Representation
cs224n
paper
Sep 24, 2026
2015 - Improving Distributional Similarity with Lessons Learned from Word Embeddings
cs224n
paper
Sep 24, 2026
2016 - A Latent Variable Model Approach to PMI-based Word Embeddings
cs224n
paper
Sep 24, 2026
2016 - Layer Normalization
cs224n
paper
Sep 24, 2026
2016 - Neural Machine Translation of Rare Words with Subword Units
cs224n
paper
Sep 24, 2026
2017 - Attention Is All You Need
cs224n
paper
Sep 24, 2026
2017 - Derivatives Backpropagation and Vectorization - Justin Johnson
cs224n
paper
Sep 24, 2026
2018 - BERT - Pre-training of Deep Bidirectional Transformers for Language Understanding
cs224n
paper
Sep 24, 2026
2018 - Image Transformer
cs224n
paper
Sep 24, 2026
2018 - Music Transformer - Generating Music with Long-Term Structure
cs224n
paper
Sep 24, 2026
2018 - On the Dimensionality of Word Embedding
cs224n
paper
Sep 24, 2026
2019 - Parameter-Efficient Transfer Learning for NLP
cs224n
paper
Sep 24, 2026
2019 - The Lottery Ticket Hypothesis - Finding Sparse Trainable Neural Networks
cs224n
paper
Sep 24, 2026
2020 - Contextual Word Representations - A Contextual Introduction
cs224n
paper
Sep 24, 2026
2020 - Language Models are Few-Shot Learners
cs224n
paper
Sep 24, 2026
2020 - Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
cs224n
paper
Sep 24, 2026
2020 - Unsupervised Cross-lingual Representation Learning at Scale
cs224n
paper
Sep 24, 2026
2021 - LoRA - Low-Rank Adaptation of Large Language Models
cs224n
paper
Sep 24, 2026
2021 - Measuring Massive Multitask Language Understanding
cs224n
paper
Sep 24, 2026
2021 - RoFormer - Enhanced Transformer with Rotary Position Embedding
cs224n
paper
Sep 24, 2026
2022 - Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
cs224n
paper
Sep 24, 2026
2022 - Fast Inference from Transformers via Speculative Decoding
cs224n
paper
Sep 24, 2026
2022 - Retrieval-Augmented Multimodal Language Modeling
cs224n
paper
Sep 24, 2026
2022 - Scaling Instruction-Finetuned Language Models
cs224n
paper
Sep 24, 2026
2023 - AlpacaFarm - A Simulation Framework for Methods that Learn from Human Feedback
cs224n
paper
Sep 24, 2026
2023 - Direct Preference Optimization - Your Language Model is Secretly a Reward Model
cs224n
paper
Sep 24, 2026
2023 - Do All Languages Cost the Same - Tokenization in the Era of Commercial Language Models
cs224n
paper
Sep 24, 2026
2023 - Holistic Evaluation of Language Models
cs224n
paper
Sep 24, 2026
2023 - How Far Can Camels Go - Exploring Instruction Tuning on Open Resources
cs224n
paper
Sep 24, 2026
2023 - Lets Verify Step by Step
cs224n
paper
Sep 24, 2026
2023 - ReAct - Synergizing Reasoning and Acting in Language Models
cs224n
paper
Sep 24, 2026
2023 - Scaling Autoregressive Multi-Modal Models - Pretraining and Instruction Tuning
cs224n
paper
Sep 24, 2026
2023 - Scaling Laws for Generative Mixed-Modal Language Models
cs224n
paper
Sep 24, 2026
2023 - Self-Consistency Improves Chain of Thought Reasoning in Language Models
cs224n
paper
Sep 24, 2026
2023 - Toolformer - Language Models Can Teach Themselves to Use Tools
cs224n
paper
Sep 24, 2026
2024 - Chameleon - Mixed-Modal Early-Fusion Foundation Models
cs224n
paper
Sep 24, 2026
2024 - LMFusion - Adapting Pretrained Language Models for Multimodal Generation
cs224n
paper
Sep 24, 2026
2024 - Scaling LLM Test-Time Compute Optimally Can Be More Effective Than Scaling Model Parameters
cs224n
paper
Sep 24, 2026
2024 - The Llama 3 Herd of Models
cs224n
paper
Sep 24, 2026
2024 - Transfusion - Predict the Next Token and Diffuse Images with One Multi-Modal Model
cs224n
paper
Sep 24, 2026
2024 - Visual Sketchpad - Sketching as a Visual Chain of Thought for Multimodal Language Models
cs224n
paper
Sep 24, 2026
2025 - Agentic Interpretability - Because We Have LLMs We Can and Should Pursue It
cs224n
paper
Sep 24, 2026
2025 - Bridging the Human-AI Knowledge Gap Through Concept Discovery and Transfer in AlphaZero
cs224n
paper
Sep 24, 2026
2025 - DAPO - An Open-Source LLM Reinforcement Learning System at Scale
cs224n
paper
Sep 24, 2026
2025 - DeepSeek-R1 - Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
cs224n
paper
Sep 24, 2026
2025 - Mixture-of-Transformers - A Sparse and Scalable Architecture for Multi-Modal Foundation Models
cs224n
paper
Sep 24, 2026
2025 - Multimodal RewardBench - Holistic Evaluation of Reward Models for Vision Language Models
cs224n
paper
Sep 24, 2026
2025 - Neologism Learning for Controllability and Self-Verbalization
cs224n
paper
Sep 24, 2026
2025 - OneFlow - Concurrent Mixed-Modal and Interleaved Generation with Edit Flows
cs224n
paper
Sep 24, 2026
2025 - Reconstruction Alignment Improves Unified Multimodal Models
cs224n
paper