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)

UDMorph: Morphosyntactically Tagged UD Corpora COLING 2024 UGIF-DataSet: A New Dataset for Cross-lingual, Cross-modal Sequential actions on the UI NAACL 2024 UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation ACL 2024 Ukrainian Visual Word Sense Disambiguation Benchmark COLING 2024 ULLME: A Unified Framework for Large Language Model Embeddings with Generation-Augmented Learning EMNLP 2024 UltraEval: A Lightweight Platform for Flexible and Comprehensive Evaluation for LLMs ACL 2024 UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset ACL 2024 ULTRA: Unleash LLMs’ Potential for Event Argument Extraction through Hierarchical Modeling and Pair-wise Self-Refinement ACL 2024 UMBCLU at SemEval-2024 Task 1: Semantic Textual Relatedness with and without machine translation SemEval 2024 UMUTeam at SemEval-2024 Task 4: Multimodal Identification of Persuasive Techniques in Memes through Large Language Models SemEval 2024 Uncertainty Estimation in Large Language Models to Support Biodiversity Conservation NAACL 2024 Uncertainty in Language Models: Assessment through Rank-Calibration EMNLP 2024 Uncovering Differences in Persuasive Language in Russian versus English Wikipedia EMNLP 2024 Uncovering Limitations of Large Language Models in Information Seeking from Tables ACL 2024 Uncovering Social Changes of the Basque Speaking Twitter Community During COVID-19 Pandemic COLING 2024 Understanding and Mitigating Language Confusion in LLMs EMNLP 2024 Understanding Catastrophic Forgetting in Language Models via Implicit Inference ICLR 2024 Understanding Cross-Lingual Alignment—A Survey ACL 2024 Understanding Emergent Abilities of Language Models from the Loss Perspective NeurIPS 2024 Understanding How Positional Encodings Work in Transformer Model COLING 2024 Understanding In-Context Learning from Repetitions ICLR 2024 Understanding Survey Paper Taxonomy about Large Language Models via Graph Representation Learning ACL 2024 Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense NAACL 2024 Understanding the effects of language-specific class imbalance in multilingual fine-tuning EACL 2024 Understanding the Effects of RLHF on LLM Generalisation and Diversity ICLR 2024