Who cites «Curriculum Learning» · page 3

659 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

A surprisal oracle for when every layer counts — 2024 · The 2nd BabyLM Challenge at the 28th Conference on Computational Natural Language Learning
Active Learning for Abstractive Text Summarization via LLM-Determined Curriculum and Certainty Gain Maximization — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
AutoWebGLM: A Large Language Model-based Web Navigating Agent — 2024 · arXiv:2404.03648
Automatic Pair Construction for Contrastive Post-training — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
Automatic Quality Estimation for Data Selection and Curriculum Learning — 2024 · The 2nd BabyLM Challenge at the 28th Conference on Computational Natural Language Learning
BERT-BC: A Unified Alignment and Interaction Model over Hierarchical BERT for Response Selection — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Balanced Data Sampling for Language Model Training with Clustering — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Bootstrapped Policy Learning for Task-oriented Dialogue through Goal Shaping — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
CEPT: A Contrast-Enhanced Prompt-Tuning Framework for Emotion Recognition in Conversation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
CLFFRD: Curriculum Learning and Fine-grained Fusion for Multimodal Rumor Detection — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Category-wise Fine-Tuning: Resisting Incorrect Pseudo-Labels in Multi-Label Image Classification with Partial Labels — 2024 · arXiv:2401.16991 · Neurocomputing 2025
Choosy Babies Need One Coach: Inducing Mode-Seeking Behavior in BabyLlama with Reverse KL Divergence — 2024 · The 2nd BabyLM Challenge at the 28th Conference on Computational Natural Language Learning
CoELM: Construction-Enhanced Language Modeling — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models — 2024 · arXiv:2404.02823
Context-aware Visual Storytelling with Visual Prefix Tuning and Contrastive Learning — 2024 · Proceedings of the 17th International Natural Language Generation Conference
CuSINeS: Curriculum-driven Structure Induced Negative Sampling for Statutory Article Retrieval — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Curriculum Consistency Learning for Conditional Sentence Generation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Curriculum Learning Meets Directed Acyclic Graph for Multimodal Emotion Recognition — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Curriculum Learning for Small Code Language Models — 2024 · arXiv:2407.10194
DACL: Disfluency Augmented Curriculum Learning for Fluent Text Generation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
DADA: Distribution-Aware Domain Adaptation of PLMs for Information Retrieval — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Data-driven Discovery with Large Generative Models — 2024 · arXiv:2402.13610
Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum — 2024 · arXiv:2405.13226
Decoder-only Streaming Transformer for Simultaneous Translation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Development of Cognitive Intelligence in Pre-trained Language Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Discovering and Articulating Frames of Communication from Social Media Using Chain-of-Thought Reasoning — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
Do LLMs learn a true syntactic universal? — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Does the \textitOrder Matter? Curriculum Learning over Languages — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
ELLEN: Extremely Lightly Supervised Learning for Efficient Named Entity Recognition — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Efficient Continual Pre-training for Building Domain Specific Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Empowering Tree-structured Entailment Reasoning: Rhetorical Perception and LLM-driven Interpretability — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Enhancing Agent Learning through World Dynamics Modeling — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
Enhancing Alignment using Curriculum Learning & Ranked Preferences — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Exploring Curriculum Learning for Vision-Language Tasks: A Study on Small-Scale Multimodal Training — 2024 · The 2nd BabyLM Challenge at the 28th Conference on Computational Natural Language Learning
FIRE: A Dataset for Financial Relation Extraction — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
From General LLM to Translation: How We Dramatically Improve Translation Quality Using Human Evaluation Data for LLM Finetuning — 2024 · Proceedings of the Ninth Conference on Machine Translation
Generating from AMRs into High and Low-Resource Languages using Phylogenetic Knowledge and Hierarchical QLoRA Training (HQL) — 2024 · Proceedings of the 17th International Natural Language Generation Conference
GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
HiCuLR: Hierarchical Curriculum Learning for Rhetorical Role Labeling of Legal Documents — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function Classes — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)
IT2ACL Learning Easy-to-Hard Instructions via 2-Phase Automated Curriculum Learning for Large Language Models — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Instance Temperature Knowledge Distillation — 2024 · arXiv:2407.00115
Instruction Tuning with Human Curriculum — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
Instruction-Driven Game Engine: A Poker Case Study — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Is Child-Directed Speech Effective Training Data for Language Models? — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
LeanAgent: Lifelong Learning for Formal Theorem Proving — 2024 · arXiv:2410.06209
MELT: Materials-aware Continued Pre-training for Language Model Adaptation to Materials Science — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
MTA4DPR: Multi-Teaching-Assistants Based Iterative Knowledge Distillation for Dense Passage Retrieval — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Making Hard Problems Easier with Custom Data Distributions and Loss Regularization: A Case Study in Modular Arithmetic — 2024 · arXiv:2410.03569
McGill NLP Group Submission to the MRL 2024 Shared Task: Ensembling Enhances Effectiveness of Multilingual Small LMs — 2024 · Proceedings of the Fourth Workshop on Multilingual Representation Learning (MRL 2024)
Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
Metaphor Detection with Context Enhancement and Curriculum Learning — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Multi-Step Reasoning with Large Language Models, a Survey — 2024 · arXiv:2407.11511
Neuro-Symbolic Data Generation for Math Reasoning — 2024 · arXiv:2412.04857
Orion-14B: Open-source Multilingual Large Language Models — 2024 · arXiv:2401.12246
PopALM: Popularity-Aligned Language Models for Social Media Trendy Response Prediction — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey — 2024 · arXiv:2404.16484
Recent Trends in Personalized Dialogue Generation: A Review of Datasets, Methodologies, and Evaluations — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Responsible Multilingual Large Language Models: A Survey of Development, Applications, and Societal Impact — 2024 · arXiv:2410.17532
Restoring Ancient Ideograph: A Multimodal Multitask Neural Network Approach — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Samsung R&D Institute Philippines @ WMT 2024 Indic MT Task — 2024 · Proceedings of the Ninth Conference on Machine Translation
SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models — 2024 · arXiv:2401.01335
Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models -- The Story Goes On — 2024 · arXiv:2407.08348
SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Some Tradeoffs in Continual Learning for Parliamentary Neural Machine Translation Systems — 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
Sparsity-Accelerated Training for Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Synonym relations affect object detection learned on vision-language data — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization — 2024 · arXiv:2402.14270
The Role of Data Curation in Image Captioning — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
The Unreasonable Effectiveness of Easy Training Data for Hard Tasks — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2) — 2024 · arXiv:2402.16720
Towards Data-Efficient Language Models: A Child-Inspired Approach to Language Learning — 2024 · The 2nd BabyLM Challenge at the 28th Conference on Computational Natural Language Learning
Towards Robust Temporal Activity Localization Learning with Noisy Labels — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Towards a Unified Framework for Adaptable Problematic Content Detection via Continual Learning — 2024 · Proceedings of the 8th Workshop on Online Abuse and Harms (WOAH 2024)
Tree-Instruct: A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages — 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)
Vygotsky Distance: Measure for Benchmark Task Similarity — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
WavChat: A Survey of Spoken Dialogue Models — 2024 · arXiv:2411.13577
Zamba: A Compact 7B SSM Hybrid Model — 2024 · arXiv:2405.16712
A Survey of Large Language Models — 2023 · arXiv:2303.18223 · Frontiers of Computer Science, Volume 20, Issue 12, Article 2012627 (2026)
A surprisal oracle for active curriculum language modeling — 2023 · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning
Accelerating Multiple Intent Detection and Slot Filling via Targeted Knowledge Distillation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Application-Agnostic Language Modeling for On-Device ASR — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track)
BIOptimus: Pre-training an Optimal Biomedical Language Model with Curriculum Learning for Named Entity Recognition — 2023 · Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks
Baby Llama: knowledge distillation from an ensemble of teachers trained on a small dataset with no performance penalty — 2023 · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning
BabyLM Challenge: Curriculum learning based on sentence complexity approximating language acquisition — 2023 · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning
Breaking the Language Barrier: Improving Cross-Lingual Reasoning with Structured Self-Attention — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Byte-ranked Curriculum Learning for BabyLM Strict-small Shared Task 2023 — 2023 · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning
CLAD-ST: Contrastive Learning with Adversarial Data for Robust Speech Translation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
CLCL: Non-compositional Expression Detection with Contrastive Learning and Curriculum Learning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
CLIMB – Curriculum Learning for Infant-inspired Model Building — 2023 · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning
Can training neural language models on a curriculum with developmentally plausible data improve alignment with human reading behavior? — 2023 · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning
Code Execution with Pre-trained Language Models — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Complexity-Guided Curriculum Learning for Text Graphs — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023