conftrace_

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

Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective ACL 2026 Rethinking Evaluation for LLM Hallucination Detection: A Desiderata, A New RAG-based Benchmark, New Insights ACL 2026 Rethinking Expert Trajectory Utilization in LLM Post-training for Mathematical Reasoning ACL 2026 Rethinking Hallucinations: Correctness, Consistency, and Prompt Multiplicity EACL 2026 Rethinking Reading Order: Toward Generalizable Document Understanding with LLM-based Relation Modeling EACL 2026 Rethinking Scale: Deployment Trade-offs of Small Language Models under Agent Paradigms ACL 2026 Rethinking the Reliability of Multi-agent System: A Perspective from Byzantine Fault Tolerance AAAI 2026 Rethinking the Role of Entropy in Optimizing Tool-Use Behaviors for Large Language Model Agents ACL 2026 Rethink Representation Learning for Questionnaire Data AAAI 2026 ReTRE: Benchmarking LLM Transfer Robustness with Structure-Preserving Variants ACL 2026 Retrieval-Augmented Defense: Adaptive and Controllable Jailbreak Prevention for Large Language Models ACL 2026 Retrieval-driven Reasoning for Deliberative Visual Classification AAAI 2026 Retrieving Classes of Causal Orders with Inconsistent Knowledge Bases CLeaR 2026 RetroLM: Retrieval-Augmented KVs for Long-Context Processing AAAI 2026 ReviewGrounder: Improving Review Substantiveness with Rubric-Guided, Tool-Integrated Agents ACL 2026 Revisiting Non-Verbatim Memorization in Large Language Models: The Role of Entity Surface Forms ACL 2026 Revisiting Pipeline Parallelism for LLM Serving OSDI 2026 Revisiting the Reliability of Language Models in Instruction-Following ACL 2026 RExBench: Can coding agents autonomously implement AI research extensions? ACL 2026 ReX-MLE: The Autonomous Agent Benchmark for Medical Imaging Challenges MIDL 2026 RFS-Guard: Detecting Reasoning Hallucinations via Cross-Phase Routing Focus in Large Reasoning Models ACL 2026 R-GDA: Reflective Guidance Data Augmentation with Multi-Agent Feedback for Domain-Specific Named Entity Recognition EACL 2026 Rhetorical Questions in LLM Representations: A Linear Probing Study ACL 2026 RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection AAAI 2026 RiddleBench: A New Generative Reasoning Benchmark for LLMs EACL 2026