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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

Rolling the DICE on Idiomaticity: How LLMs Fail to Grasp Context ACL 2025 RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs ACL 2025 Root Defense Strategies: Ensuring Safety of LLM at the Decoding Level ACL 2025 ROPO: Robust Preference Optimization for Large Language Models ICML 2025 Rotate, Clip, and Partition: Towards W2A4KV4 Quantization by Integrating Rotation and Learnable Non-uniform Quantizer EMNLP 2025 RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations IJCAI 2025 RoT: Enhancing Table Reasoning with Iterative Row-Wise Traversals EMNLP 2025 RoToR: Towards More Reliable Responses for Order-Invariant Inputs ACL 2025 Round Attention: A Novel Round-Level Attention Mechanism to Accelerate LLM Inference ACML 2025 RouteLLM: Learning to Route LLMs from Preference Data ICLR 2025 RouteNator: A Router-Based Multi-Modal Architecture for Generating Synthetic Training Data for Function Calling LLMs NAACL 2025 RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs EMNLP 2025 ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL ICLR 2025 ROVI: A VLM-LLM Re-Captioned Dataset for Open-Vocabulary Instance-Grounded Text-to-Image Generation ICCV 2025 RRInf: Efficient Influence Function Estimation via Ridge Regression for Large Language Models and Text-to-Image Diffusion Models EMNLP 2025 R.R.: Unveiling LLM Training Privacy through Recollection and Ranking ACL 2025 R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference ICLR 2025 RTADev: Intention Aligned Multi-Agent Framework for Software Development ACL 2025 R-TOFU: Unlearning in Large Reasoning Models EMNLP 2025 RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models EMNLP 2025 RUBRIC-MQM : Span-Level LLM-as-judge in Machine Translation For High-End Models ACL 2025 Rubrik’s Cube: Testing a New Rubric for Evaluating Explanations on the CUBE dataset ACL 2025 RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios ACL 2025 RULEBREAKERS: Challenging LLMs at the Crossroads between Formal Logic and Human-like Reasoning ICML 2025 RuleEdit: Towards Rule-Level Knowledge Generalization to Mitigate Over-Editing in Large Language Models ACL 2025