Resources & Methods
16,196 papers (36 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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561
898
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Papers (including subtopics)
Sebastian, Basti, Wastl?! Recognizing Named Entities in Bavarian Dialectal Data
COLING 2024
Secret Collusion among AI Agents: Multi-Agent Deception via Steganography
NeurIPS 2024
SecureSQL: Evaluating Data Leakage of Large Language Models as Natural Language Interfaces to Databases
EMNLP 2024
SedarEval: Automated Evaluation using Self-Adaptive Rubrics
EMNLP 2024
SEED-Bench: Benchmarking Multimodal Large Language Models
CVPR 2024
Seed-Free Synthetic Data Generation Framework for Instruction-Tuning LLMs: A Case Study in Thai
ACL 2024
SEED: Semantic Knowledge Transfer for Language Model Adaptation to Materials Science
EMNLP 2024
SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypes
ACL 2024
“Seeing the Big through the Small”: Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?
EMNLP 2024
Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment
NeurIPS 2024
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective
ICLR 2024
SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation
EMNLP 2024
SEFLAG: Systematic Evaluation Framework for NLP Models and Datasets in Latin and Ancient Greek
EMNLP 2024
Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation
EMNLP 2024
Select and Augment: Enhanced Dense Retrieval Knowledge Graph Augmentation (Abstract Reprint)
AAAI 2024
Selecting Large Language Model to Fine-tune via Rectified Scaling Law
ICML 2024
Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models
EMNLP 2024
Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability
EMNLP 2024
SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection
NeurIPS 2024
Selective Prompting Tuning for Personalized Conversations with LLMs
ACL 2024
Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning
ACL 2024
Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation
ACL 2024
Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations
EMNLP 2024
Self-Augmented In-Context Learning for Unsupervised Word Translation
ACL 2024
Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models
NAACL 2024