Natural Language Processing › Generation ›

Language Modeling

1624 directly classified papers

Papers per year

Papers

NIMZ at SemEval-2024 Task 9: Evaluating Methods in Solving Brainteasers Defying Commonsense SEMEVAL 2024

Cluster Language Model for Improved E-Commerce Retrieval and Ranking: Leveraging Query Similarity and Fine-Tuning for Personalized Results COLING 2024

Commentary Generation from Data Records of Multiplayer Strategy Esports Game NAACL 2024

BabyLM Challenge: Exploring the effect of variation sets on language model training efficiency CONLL 2024

BLSP-Emo: Towards Empathetic Large Speech-Language Models EMNLP 2024

SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical Reasoning in Large Language Models EMNLP 2024

Less is More: Pre-Training Cross-Lingual Small-Scale Language Models with Cognitively-Plausible Curriculum Learning Strategies CONLL 2024

Language models and brains align due to more than next-word prediction and word-level information EMNLP 2024

Using Curriculum Masking Based on Child Language Development to Train a Large Language Model with Limited Training Data CONLL 2024

On the Proper Treatment of Tokenization in Psycholinguistics EMNLP 2024

Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems EMNLP 2024

Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning EMNLP 2024

Scaling Laws for Linear Complexity Language Models EMNLP 2024

RankPrompt: Step-by-Step Comparisons Make Language Models Better Reasoners COLING 2024

To Learn or Not to Learn: Replaced Token Detection for Learning the Meaning of Negation COLING 2024

Evaluating n-Gram Novelty of Language Models Using Rusty-DAWG EMNLP 2024

How to Compute the Probability of a Word EMNLP 2024

Semformer: Transformer Language Models with Semantic Planning EMNLP 2024

Autoregressive Pre-Training on Pixels and Texts EMNLP 2024

A surprisal oracle for when every layer counts CONLL 2024

Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations EMNLP 2024

NUS-Emo at SemEval-2024 Task 3: Instruction-Tuning LLM for Multimodal Emotion-Cause Analysis in Conversations SEMEVAL 2024

Language Models are Alignable Decision-Makers: Dataset and Application to the Medical Triage Domain NAACL 2024

ALF at SemEval-2024 Task 9: Exploring Lateral Thinking Capabilities of LMs through Multi-task Fine-tuning SEMEVAL 2024

Targeted Syntactic Evaluation on the Chomsky Hierarchy COLING 2024