Skip to content
conftrace_

large language model

14,686 papers

Explore in graph

Also known as

LLM LLMS

Co-occurring keywords · papers mentioning both

in-context learning (789) question answering (737) zero-shot learning (717) benchmark evaluation (705) prompt engineering (705) retrieval-augmented generation (672) text generation (668) multimodal learning (651) text classification (646) few-shot learning (636)

Papers

Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks ACL 2026 Understanding and Mitigating Political Stance Cross-topic Generalization in Large Language Models ACL 2026 Understanding Conversational Implicatures in Humans and LLMs ACL 2026 Understanding Counting Mechanisms in Large Language and Vision-Language Models CVPR 2026 Understanding the Prompt Sensitivity ACL 2026 UniAPO: Unified Multimodal Automated Prompt Optimization AAAI 2026 UniDataBench: Evaluating Data Analytics Agents Across Structured and Unstructured Data ACL 2026 Unifying Multi-View Knowledge for Graph Learning via Model Collaboration AAAI 2026 UniMo: Unified Motion Generation and Understanding with Chain of Thought AAAI 2026 Unintended Misalignment from Agentic Fine-Tuning: Risks and Mitigation AAAI 2026 UniToolBench: A Benchmark for Tool-Augmented LLMs in Cross-Domain, Universal Task Automation EACL 2026 Universal Guideline-Driven Image Clustering via a Hybrid LLM Agent CVPR 2026 Unlearners Can Lie: Evaluating and Improving Honesty in LLM Unlearning ACL 2026 Unleashing the Potential of Large Language Models for Text-to-Image Generation Through Autoregressive Representation Alignment AAAI 2026 Unleashing the Unseen: Harnessing Benign Datasets for Jailbreaking Large Language Models EACL 2026 Unsafe2Safe: Controllable Image Anonymization for Downstream Utility CVPR 2026 UNSC-Bench: Evaluating LLM Diplomatic Role-Playing Through UN Security Council Vote Prediction EACL 2026 Unsupervised Text Style Transfer for Controllable Intensity EACL 2026 Unveiling AI Safety in Fine-tuning Quantized Model AAAI 2026 Unveiling Causal Calibration: How LLM Scale Influences Statistical Information Interpolation CLeaR 2026 Unveiling the Landscape of Clinical Depression Assessment: From Behavioral Signatures to Psychiatric Reasoning AAAI 2026 Unveiling the Limits of Large Language Models in Inferring Pragmatic Meaning from Non-Verbal Responses ACL 2026 UQLM: A Python Package for Uncertainty Quantification in Large Language Models JMLR 2026 UrbanGeoEval: A City-Scale Benchmark for Evaluating Large Language Models in Geospatial Reasoning ACL 2026 U-RoCX: An xLSTM based Approach to AI-Generated Urdu Text Detection EACL 2026