Large Language Models
9,515 papers
Papers per year
3
2
3
10
50
60
195
584
2,423
4,570
1,615
'20
'25
Papers
RRM: Robust Reward Model Training Mitigates Reward Hacking
ICLR 2025
RSSN at Multilingual Counterspeech Generation: Leveraging Lightweight Transformers for Efficient and Context-Aware Counter-Narrative Generation
COLING 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
RuleAdapter: Dynamic Rules for training Safety Reward Models in RLHF
ICML 2025
RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios
ACL 2025
RuleEdit: Towards Rule-Level Knowledge Generalization to Mitigate Over-Editing in Large Language Models
ACL 2025
RZ-NAS: Enhancing LLM-guided Neural Architecture Search via Reflective Zero-Cost Strategy
ICML 2025
s1: Simple test-time scaling
EMNLP 2025
S2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning
ACL 2025
S^3cMath: Spontaneous Step-Level Self-Correction Makes Large Language Models Better Mathematical Reasoners
AAAI 2025
s3: You Don’t Need That Much Data to Train a Search Agent via RL
EMNLP 2025
SabiYarn: Advancing Low Resource Languages with Multitask NLP Pretraining
ACL 2025
SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models
ICML 2025
SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities
ACL 2025
Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets
ICML 2025
Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal Verification
ACL 2025
Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging
EMNLP 2025
Safeguarding Vision-Language Models: Mitigating Vulnerabilities to Gaussian Noise in Perturbation-based Attacks
ICCV 2025
SafeInfer: Context Adaptive Decoding Time Safety Alignment for Large Language Models
AAAI 2025
Safe in Isolation, Dangerous Together: Agent-Driven Multi-Turn Decomposition Jailbreaks on LLMs
ACL 2025
SAFENUDGE: Safeguarding Large Language Models in Real-time with Tunable Safety-Performance Trade-offs
EMNLP 2025
Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning
AAAI 2025
SafeQuant: LLM Safety Analysis via Quantized Gradient Inspection
NAACL 2025