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large language model

14,686 papers

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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

Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks ACL 2026 Evaluating Multi-Hop Reasoning in Large Language Models: A Chemistry-Centric Benchmark EACL 2026 Evaluating Robustness of Large Language Models Against Multilingual Typographical Errors ACL 2026 Evaluating Structure-Aware Retrieval and Safety in Statute-Centric Legal QA ACL 2026 Evaluating the Effect of Retrieval Augmentation on Social Biases EACL 2026 Evaluating the Factuality of Large Language Models Using Multiple Plug-and-Play Fact Sources AAAI 2026 Evaluating the Impact of SAE-based Language Steering on LLM Performance EACL 2026 Evaluating the Pre-Consultation Ability of LLMs using Diagnostic Guidelines EACL 2026 Evaluation of Deontic Conditional Reasoning in Large Language Models: The Case of Wason’s Selection Task EACL 2026 Everyone is unique: Towards Behaviorally Heterogeneous Negotiation Dialogue Systems for Debt Collection ACL 2026 Every Response Counts: Quantifying Uncertainty of LLM-based Multi-Agent Systems through Tensor Decomposition ACL 2026 Every Token Counts: Generalizing 16M Ultra-Long Context in Large Language Models ACL 2026 Evidence-Driven Reasoning for Industrial Maintenance Using Heterogeneous Data ACL 2026 Evidential Semantic Entropy for LLM Uncertainty Quantification EACL 2026 EVM-QuestBench: An Execution-Grounded Benchmark for Natural-Language Transaction Code Generation ACL 2026 Evo-Attacker: Memory-Augmented Reinforcement Learning for Long-Horizon Tool Attacks on LLM-MAS ACL 2026 Evolutionary Search for Automated Design of Uncertainty Quantification Methods ACL 2026 Evolutionary Strategies at Scale lead to Catastrophic Forgetting ACL 2026 Evolving Sparsity: Leveraging Token Importance Dynamics for Efficient LLM Decoding with Sparse Attention ACL 2026 EvoRoute: Experience-Driven Self-Routing LLM Agent Systems ACL 2026 EvoSci: A Bio-Inspired Multi-Agent Framework for the Evolution of Scientific Discovery ACL 2026 EVOTOOL: Self-Evolving Tool-Use Policy Optimization in LLM Agents via Blame-Aware Mutation and Diversity-Aware Selection ACL 2026 Example Quality Matters: Multi-Aspects Example Augmentation for Private Library Programming ACL 2026 ExAnte: A Benchmark for Ex-Ante Inference in Large Language Models EACL 2026 "Excuse me, may I say something..." CoLabScience, A Proactive AI Assistant for Biomedical Discovery and LLM-Expert Collaborations ACL 2026