Natural Language Processing
46,586 papers (52 classified directly here)
Subtopics · a paper can sit in several, so these overlap
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
'5
'10
'15
'20
'25
Papers (including subtopics)
Ruler: A Model-Agnostic Method to Control Generated Length for Large Language Models
EMNLP 2024
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models
EMNLP 2024
RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models
NeurIPS 2024
S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs
ACL 2024
S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Model
NAACL 2024
S3Prompt: Instructing the Model with Self-calibration, Self-recall and Self-aggregation to Improve In-context Learning
COLING 2024
Saama Technologies at BioLaySumm: Abstract based fine-tuned models with LoRA
ACL 2024
Saama Technologies at EHRSQL 2024: SQL Generation through Classification Answer Selector by LLM
NAACL 2024
Saama Technologies at SemEval-2024 Task 2: Three-module System for NLI4CT Enhanced by LLM-generated Intermediate Labels
SemEval 2024
SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical Reasoning in Large Language Models
EMNLP 2024
SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graph
ACL 2024
SaCo Loss: Sample-wise Affinity Consistency for Vision-Language Pre-training
CVPR 2024
SAFARI: Cross-lingual Bias and Factuality Detection in News Media and News Articles
EMNLP 2024
Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models
NeurIPS 2024
Safely Learning with Private Data: A Federated Learning Framework for Large Language Model
EMNLP 2024
Safety Alignment in NLP Tasks: Weakly Aligned Summarization as an In-Context Attack
ACL 2024
Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations
EMNLP 2024
SafetyBench: Evaluating the Safety of Large Language Models
ACL 2024
SAFETY-J: Evaluating Safety with Critique
EMNLP 2024
Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions
ICLR 2024
SAGA: A Participant-specific Examination of Story Alternatives and Goal Applicability for a Deeper Understanding of Complex Events
ACL 2024
SaGE: Evaluating Moral Consistency in Large Language Models
COLING 2024
Sahara Pioneers at FIGNEWS 2024 Shared Task: Data Annotation Guidelines for Propaganda Detection in News Items
ACL 2024
Sailor: Open Language Models for South-East Asia
EMNLP 2024
SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models
ACL 2024