Large Language Models

FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision NeurIPS 2024 FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets ICLR 2024 FlexiQA: Leveraging LLM’s Evaluation Capabilities for Flexible Knowledge Selection in Open-domain Question Answering EACL 2024 FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations NeurIPS 2024 FLOR: On the Effectiveness of Language Adaptation COLING 2024 FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents EMNLP 2024 FM-Delta: Lossless Compression for Storing Massive Fine-tuned Foundation Models NeurIPS 2024 fMRI predictors based on language models of increasing complexity recover brain left lateralization NeurIPS 2024 Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning ACL 2024 FOFO: A Benchmark to Evaluate LLMs’ Format-Following Capability ACL 2024 FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models ACL 2024 Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models ACL 2024 Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models EMNLP 2024 Fostering the Ecosystem of Open Neural Encoders for Portuguese with Albertina PT* Family COLING 2024 Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation EMNLP 2024 Foundation Model for Biomedical Graphs: Integrating Knowledge Graphs and Protein Structures to Large Language Models ACL 2024 Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding NeurIPS 2024 FragRel: Exploiting Fragment-level Relations in the External Memory of Large Language Models ACL 2024 FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models EMNLP 2024 FrenchToxicityPrompts: a Large Benchmark for Evaluating and Mitigating Toxicity in French Texts COLING 2024 FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation ACL 2024 FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in LLMs EMNLP 2024 From Bottom to Top: Extending the Potential of Parameter Efficient Fine-Tuning EMNLP 2024 From Bytes to Borsch: Fine-Tuning Gemma and Mistral for the Ukrainian Language Representation COLING 2024 From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models EMNLP 2024