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

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Papers (including subtopics)

SelfCodeAlign: Self-Alignment for Code Generation NeurIPS 2024 Self-Contrast: Better Reflection Through Inconsistent Solving Perspectives ACL 2024 Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models NAACL 2024 Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning ACL 2024 Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages EMNLP 2024 Self-Evaluation of Generative AI Prompts for Linguistic Linked Open Data Modelling in Diachronic Analysis COLING 2024 Self-Evaluation of Large Language Model based on Glass-box Features EMNLP 2024 Self-Evolution Fine-Tuning for Policy Optimization EMNLP 2024 Self-Evolving GPT: A Lifelong Autonomous Experiential Learner ACL 2024 SELF-EXPERTISE: Knowledge-based Instruction Dataset Augmentation for a Legal Expert Language Model NAACL 2024 Self-Explanation Prompting Improves Dialogue Understanding in Large Language Models COLING 2024 Self-Improving Customer Review Response Generation Based on LLMs COLING 2024 Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models NAACL 2024 Self-Para-Consistency: Improving Reasoning Tasks at Low Cost for Large Language Models ACL 2024 Self-Prompting Large Language Models for Zero-Shot Open-Domain QA NAACL 2024 Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models EMNLP 2024 Self-Renewal Prompt Optimizing with Implicit Reasoning EMNLP 2024 Self-Retrieval: End-to-End Information Retrieval with One Large Language Model NeurIPS 2024 Self-Specialization: Uncovering Latent Expertise within Large Language Models ACL 2024 Self-Supervised Position Debiasing for Large Language Models ACL 2024 Self-supervised Preference Optimization: Enhance Your Language Model with Preference Degree Awareness EMNLP 2024 Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement CVPR 2024 Self-training Large Language Models through Knowledge Detection EMNLP 2024 Semantic are Beacons: A Semantic Perspective for Unveiling Parameter-Efficient Fine-Tuning in Knowledge Learning ACL 2024 Semantic Compression for Word and Sentence Embeddings using Discrete Wavelet Transform ACL 2024