Large Language Models
2,815 papers
Papers per year
1
2
1
13
17
26
104
317
946
1,277
111
'20
'25
Papers
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
NeurIPS 2024
RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback
ACL 2024
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models
NeurIPS 2024
RDRec: Rationale Distillation for LLM-based Recommendation
ACL 2024
RealDex: Towards Human-like Grasping for Robotic Dexterous Hand
IJCAI 2024
RealVul: Can We Detect Vulnerabilities in Web Applications with LLM?
EMNLP 2024
Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies
EMNLP 2024
Reasons and Solutions for the Decline in Model Performance after Editing
NeurIPS 2024
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training
NeurIPS 2024
REBEL: Reinforcement Learning via Regressing Relative Rewards
NeurIPS 2024
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods
EMNLP 2024
ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs
ACL 2024
Recursive Introspection: Teaching Language Model Agents How to Self-Improve
NeurIPS 2024
Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise: A Case Study on Chinese Legal Domain
ACL 2024
ReFT: Representation Finetuning for Language Models
NeurIPS 2024
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs
NeurIPS 2024
Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval
EMNLP 2024
RepEval: Effective Text Evaluation with LLM Representation
EMNLP 2024
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content
NeurIPS 2024
RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation
EMNLP 2024
Representation Noising: A Defence Mechanism Against Harmful Finetuning
NeurIPS 2024
Re-Reading Improves Reasoning in Large Language Models
EMNLP 2024
Resilience of Large Language Models for Noisy Instructions
EMNLP 2024
Retaining Key Information under High Compression Ratios: Query-Guided Compressor for LLMs
ACL 2024
Rethinking LLM Memorization through the Lens of Adversarial Compression
NeurIPS 2024