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)

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Papers (including subtopics)

Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges ACL 2024 Data Collection Pipeline for Low-Resource Languages: A Case Study on Constructing a Tetun Text Corpus COLING 2024 DataComp-LM: In search of the next generation of training sets for language models NeurIPS 2024 Data Contamination Report from the 2024 CONDA Shared Task ACL 2024 Data, Data Everywhere: A Guide for Pretraining Dataset Construction EMNLP 2024 DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows ACL 2024 Data Driven Approach for Mathematical Problem Solving COLING 2024 Data-Efficient Learning with Neural Programs NeurIPS 2024 Data Engineering for Scaling Language Models to 128K Context ICML 2024 DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models ICLR 2024 Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions NeurIPS 2024 Datasets Creation and Empirical Evaluations of Cross-Lingual Learning on Extremely Low-Resource Languages: A Focus on Comorian Dialects EACL 2024 Datasets for Multilingual Answer Sentence Selection EMNLP 2024 DB-LLM: Accurate Dual-Binarization for Efficient LLMs ACL 2024 D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models NeurIPS 2024 DDPrompt: Differential Diversity Prompting in Large Language Models ACL 2024 Debiasing with Sufficient Projection: A General Theoretical Framework for Vector Representations NAACL 2024 Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step by Step ACL 2024 Deceptive Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination? NAACL 2024 Deciphering Cognitive Distortions in Patient-Doctor Mental Health Conversations: A Multimodal LLM-Based Detection and Reasoning Framework EMNLP 2024 Deciphering psycho-social effects of Eating Disorder : Analysis of Reddit Posts using Large Language Model(LLM)s and Topic Modeling EMNLP 2024 Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning ACL 2024 Deciphering the Interplay of Parametric and Non-parametric Memory in Retrieval-augmented Language Models EMNLP 2024 Decoding Human Language Acquisition: EEG Evidence for Predictive Probabilistic Statistics in Word Segmentation Interspeech 2024 Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling ICML 2024