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Resources & Methods

16,196 papers (36 classified directly here)

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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