conftrace_

Resources & Methods

16,196 papers (36 classified directly here)

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

Large Language Models (9,341) Multilingual NLP (4,318) Text Representation (2,156) Lexical Semantics (710) Knowledge Editing (465) Transfer Learning (442) Prompt Engineering (128) Multimodal NLP (117) Pretraining (101)

Papers per year

2

3

5

5

7

5

6

4

10

9

6

77

224

402

561

898

1,020

1,354

1,930

3,704

4,815

1,149

'10

'15

'20

'25

Papers (including subtopics)

Saama Technologies at EHRSQL 2024: SQL Generation through Classification Answer Selector by LLM NAACL 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 Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations EMNLP 2024 Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions ICLR 2024 SaGE: Evaluating Moral Consistency in Large Language Models COLING 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 Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization EMNLP 2024 SALMON: A Structure-Aware Language Model with logicality and densification strategy for Temporal Knowledge Graph Reasoning EMNLP 2024 SALMON: Self-Alignment with Instructable Reward Models ICLR 2024 SALSA: Speedy ASR-LLM Synchronous Aggregation Interspeech 2024 Samayik: A Benchmark and Dataset for English-Sanskrit Translation COLING 2024 SambaLingo: Teaching Large Language Models New Languages EMNLP 2024 Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models ACL 2024 Sample Design Engineering: An Empirical Study on Designing Better Fine-Tuning Samples for Information Extraction with LLMs EMNLP 2024 Sandwich attack: Multi-language Mixture Adaptive Attack on LLMs NAACL 2024 SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models ACL 2024 SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain NeurIPS 2024 Scaling Behavior for Large Language Models regarding Numeral Systems: An Example using Pythia EMNLP 2024 Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment COLING 2024 Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models EMNLP 2024