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Foundation Models

4845 directly classified papers

Papers per year

Papers

Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning ACL 2024

Ask Again, Then Fail: Large Language Models’ Vacillations in Judgment ACL 2024

Enhancing Numerical Reasoning with the Guidance of Reliable Reasoning Processes ACL 2024

Uncertainty Aware Learning for Language Model Alignment ACL 2024

Fundamental Capabilities of Large Language Models and their Applications in Domain Scenarios: A Survey ACL 2024

Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use ACL 2024

Benchmarking Chinese Commonsense Reasoning of LLMs: From Chinese-Specifics to Reasoning-Memorization Correlations ACL 2024

Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning ACL 2024

LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction ACL 2024

XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts ACL 2024

Forward-Backward Reasoning in Large Language Models for Mathematical Verification ACL 2024

Towards Uncertainty-Aware Language Agent ACL 2024

Detection and Positive Reconstruction of Cognitive Distortion Sentences: Mandarin Dataset and Evaluation ACL 2024

PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs ACL 2024

PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning ACL 2024

DMoERM: Recipes of Mixture-of-Experts for Effective Reward Modeling ACL 2024

Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective ACL 2024

SoFA: Shielded On-the-fly Alignment via Priority Rule Following ACL 2024

BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models ACL 2024

Penetrative AI: Making LLMs Comprehend the Physical World ACL 2024

DistillMIKE: Editing Distillation of Massive In-Context Knowledge Editing in Large Language Models ACL 2024

Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding ACL 2024

LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting ACL 2024

NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries ACL 2024

Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond ACL 2024