Large Language Models

Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together EMNLP 2024 Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking ICLR 2024 First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning EMNLP 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 Flextron: Many-in-One Flexible Large Language Model ICML 2024 FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents EMNLP 2024 FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions NeurIPS 2024 Fluctuation-Based Adaptive Structured Pruning for Large Language Models AAAI 2024 Focused Large Language Models are Stable Many-Shot Learners EMNLP 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 Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models ECCV 2024 Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations ICML 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 Formality is Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting Knowledge EMNLP 2024 Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use ACL 2024 Forward-Backward Reasoning in Large Language Models for Mathematical Verification ACL 2024 Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation EMNLP 2024 Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding NeurIPS 2024 FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models EMNLP 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