Co-occurring keywords · papers mentioning both
Papers
Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts
ACL 2026
RedCoder: Automated Multi-Turn Red Teaming for Code LLMs
ACL 2026
RedOne 2.0: Rethinking Domain-specific LLM Post-Training in Social Networking Services
ACL 2026
ReFACT: A Benchmark for Scientific Confabulation Detection with Positional Error Annotations
EACL 2026
ReFEree: Reference-Free and Fine-Grained Method for Evaluating Factual Consistency in Real-World Code Summarization
ACL 2026
ReFINE: A Reward-Based Framework for Interpretable and Nuanced Evaluation of Radiology Report Generation
AAAI 2026
Refining and Reusing Annotation Guidelines for LLM Annotation
ACL 2026
ReflectRM: Boosting Generative Reward Models via Self-Reflection within a Unified Judgment Framework
ACL 2026
REFLEX: Self-Refining Explainable Fact-Checking via Verdict-Anchored Style Control
ACL 2026
ReFL: Reflective Feedback Learning for Hallucination Detection of Large Language Models
ACL 2026
RegionRAG: Region-level Retrieval-Augmented Generation for Visual Document Understanding
AAAI 2026
REGLAT at SemEval-2026 Task 12: Multi-Strategy Ensemble Reasoning for Event Causality Identification
SemEval 2026
Reinforced Efficient Reasoning via Semantically Diverse Exploration
ACL 2026
Reinforcement Learning for Self-Improving Agent with Skill Library
ACL 2026
Reinforcement Learning on Pre-Training Data
ACL 2026
Reinforce Trustworthiness in Multimodal Emotional Support System
AAAI 2026
Repairing Regex Vulnerabilities via Localization-Guided Instructions
EACL 2026
RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to Repository
ACL 2026
Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs
ACL 2026
ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning
ACL 2026
RescueLens: LLM-Powered Triage and Action on Volunteer Feedback for Food Rescue
AAAI 2026
ResMAS: Resilience Optimization in LLM-based Multi-agent Systems
AAAI 2026
RESPOND: Realistic Environment Simulation of Population and Natural Disasters with LLM-Driven Agents (Student Abstract)
AAAI 2026
Response Attack: Exploiting Contextual Priming to Jailbreak Large Language Models
AAAI 2026
Rethinking Data Mixing from the Perspective of Large Language Models
ACL 2026