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Resources & Methods

16,196 papers (36 classified directly here)

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Papers (including subtopics)

Interpreting Learned Feedback Patterns in Large Language Models NeurIPS 2024 INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning ACL 2024 INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair ACL 2024 Intrinsic Task-based Evaluation for Referring Expression Generation ACL 2024 Introducing CQuAE : A New French Contextualised Question-Answering Corpus for the Education Domain COLING 2024 Introducing GenCeption for Multimodal LLM Benchmarking: You May Bypass Annotations NAACL 2024 Introducing NER-UK 2.0: A Rich Corpus of Named Entities for Ukrainian COLING 2024 Introducing the Djinni Recruitment Dataset: A Corpus of Anonymized CVs and Job Postings COLING 2024 Intuitive or Dependent? Investigating LLMs’ Behavior Style to Conflicting Prompts ACL 2024 Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation NeurIPS 2024 Investigating Aspect Features in Contextualized Embeddings with Semantic Scales and Distributional Similarity NAACL 2024 Investigating Compositional Challenges in Vision-Language Models for Visual Grounding CVPR 2024 Investigating Cultural Alignment of Large Language Models ACL 2024 Investigating Decoder-only Large Language Models for Speech-to-text Translation Interspeech 2024 Investigating Expert-in-the-Loop LLM Discourse Patterns for Ancient Intertextual Analysis EMNLP 2024 Investigating LLMs as Voting Assistants via Contextual Augmentation: A Case Study on the European Parliament Elections 2024 EMNLP 2024 Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models ACL 2024 Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions? EMNLP 2024 Investigating Neural Machine Translation for Low-Resource Languages: Using Bavarian as a Case Study COLING 2024 Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following AAAI 2024 Investigating the Impact of Data Contamination of Large Language Models in Text-to-SQL translation ACL 2024 Investigating the Potential of Task Arithmetic for Cross-Lingual Transfer EACL 2024 Investigating the productivity of Passamaquoddy medials: A computational approach EACL 2024 Investigating Web Corpus Filtering Methods for Language Model Development in Japanese NAACL 2024 Investigating Wit, Creativity, and Detectability of Large Language Models in Domain-Specific Writing Style Adaptation of Reddit’s Showerthoughts NAACL 2024