conftrace_

Natural Language Processing

46,586 papers (52 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Applications (26,116) Resources & Methods (16,196) Generation (11,987) Understanding (6,547)

Papers per year

4

2

8

9

3

6

15

21

21

24

20

18

23

39

31

42

365

1,249

2,179

2,937

3,999

4,088

5,096

5,558

8,132

9,879

2,818

2000

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'25

Papers (including subtopics)

PreP-OCR: A Complete Pipeline for Document Image Restoration and Enhanced OCR Accuracy ACL 2025 Preserving Comorian Linguistic Heritage: Bidirectional Transliteration Between the Latin Alphabet and the Kamar-Eddine System NAACL 2025 Preserving Cultural Identity with Context-Aware Translation Through Multi-Agent AI Systems NAACL 2025 Preserving Diversity in Supervised Fine-Tuning of Large Language Models ICLR 2025 Preserving Zero-shot Capability in Supervised Fine-tuning for Multi-label Text Classification NAACL 2025 PresiUniv at FinCausal 2025 Shared Task: Applying Fine-tuned Language Models to Explain Financial Cause and Effect with Zero-shot Learning COLING 2025 Pre-Storage Reasoning for Episodic Memory: Shifting Inference Burden to Memory for Personalized Dialogue EMNLP 2025 Presumed Cultural Identity: How Names Shape LLM Responses EMNLP 2025 PreSumm: Predicting Summarization Performance Without Summarizing ACL 2025 Pre-trained Language Models Learn Remarkably Accurate Representations of Numbers EMNLP 2025 Pre-trained Models Perform the Best When Token Distributions Follow Zipf’s Law EMNLP 2025 Pretraining Context Compressor for Large Language Models with Embedding-Based Memory ACL 2025 Pre-Training Curriculum for Multi-Token Prediction in Language Models ACL 2025 Pretraining Strategies using Monolingual and Parallel Data for Low-Resource Machine Translation ACL 2025 PRIME: Large Language Model Personalization with Cognitive Dual-Memory and Personalized Thought Process EMNLP 2025 PrimeX: A Dataset of Worldview, Opinion, and Explanation EMNLP 2025 PRIM: Towards Practical In-Image Multilingual Machine Translation EMNLP 2025 Primus: A Pioneering Collection of Open-Source Datasets for Cybersecurity LLM Training EMNLP 2025 princi/pal: A Moral Dilemma Tamagotchi Game NeurIPS 2025 Principal Parts Detection for Computational Morphology: Task, Models and Benchmark CoNLL 2025 Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries ACL 2025 Principled Personas: Defining and Measuring the Intended Effects of Persona Prompting on Task Performance EMNLP 2025 PRINCIPLES: Synthetic Strategy Memory for Proactive Dialogue Agents EMNLP 2025 Priority on High-Quality: Selecting Instruction Data via Consistency Verification of Noise Injection EMNLP 2025 Prior Prompt Engineering for Reinforcement Fine-Tuning EMNLP 2025