Large Language Models
9,341 papers
Papers per year
1
1
1
15
108
287
352
542
1,133
2,676
3,554
671
'10
'20
'25
Papers
RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models
ICML 2025
RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations
IJCAI 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
R-PRM: Reasoning-Driven Process Reward Modeling
EMNLP 2025
R-TOFU: Unlearning in Large Reasoning Models
EMNLP 2025
RuAG: Learned-rule-augmented Generation for Large Language Models
ICLR 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
Rule-KBQA: Rule-Guided Reasoning for Complex Knowledge Base Question Answering with Large Language Models
COLING 2025
RuleR: Improving LLM Controllability by Rule-based Data Recycling
NAACL 2025
RusConText Benchmark: A Russian Language Evaluation Benchmark for Understanding Context
ACL 2025
Rust-doctor: Enhanced Feature for Rust Ownership and Lifetime Repair with Balanced Training Data Generation
EMNLP 2025
S2LPP: Small-to-Large Prompt Prediction across LLMs
EMNLP 2025
S2-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency
NAACL 2025
Saama Technologies at SemEval-2025 Task 8: Few-shot prompting with LLM-generated examples for question answering on tabular data
SemEval 2025
SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability
ICML 2025
SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities
ACL 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
SafeInt: Shielding Large Language Models from Jailbreak Attacks via Safety-Aware Representation Intervention
EMNLP 2025
SafeLawBench: Towards Safe Alignment of Large Language Models
ACL 2025
SafePersuasion: A Dataset, Taxonomy, and Baselines for Analysis of Rational Persuasion and Manipulation
IJCNLP 2025
SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model
ACL 2025
SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models
ACL 2025