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Natural Language Processing

46,586 papers (52 classified directly here)

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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