large language model

Findings of the 2nd Shared Task on Multi-lingual Multi-task Information Retrieval at MRL 2024 EMNLP 2024 Findings of the WMT 2024 Biomedical Translation Shared Task: Test Sets on Abstract Level EMNLP 2024 Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved Yet EMNLP 2024 Finding Spoken Identifications: Using GPT-4 Annotation for an Efficient and Fast Dataset Creation Pipeline COLING 2024 FinDVer: Explainable Claim Verification over Long and Hybrid-content Financial Documents EMNLP 2024 Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary Debates EMNLP 2024 Fine-grained Gender Control in Machine Translation with Large Language Models NAACL 2024 Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions ACL 2024 FineRadScore: A Radiology Report Line-by-Line Evaluation Technique Generating Corrections with Severity Scores MLHC 2024 FineSurE: Fine-grained Summarization Evaluation using LLMs ACL 2024 Fine-Tuning Language Models for Factuality ICLR 2024 Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward AAAI 2024 Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow EMNLP 2024 Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice? EMNLP 2024 Fine-Tuning Open Access LLMs for High-Precision NLU in Goal-Driven Dialog Systems COLING 2024 Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs EMNLP 2024 Fine-tuning with HED-IT: The impact of human post-editing for dialogical language models ACL 2024 FIRST: Faster Improved Listwise Reranking with Single Token Decoding EMNLP 2024 FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation EMNLP 2024 First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models NAACL 2024 Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models EMNLP 2024 Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models EMNLP 2024 FLAME : Factuality-Aware Alignment for Large Language Models NeurIPS 2024 FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets ICLR 2024 FlattenQuant: Breaking through the Inference Compute-bound for Large Language Models with Per-tensor Quantization COLING 2024