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Large Language Models

6,405 papers

Papers per year

Papers

BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages NIPS 2024
Mixture of In-Context Experts Enhance LLMs' Long Context Awareness NIPS 2024
Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles NIPS 2024
AutoPSV: Automated Process-Supervised Verifier NIPS 2024
Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models NIPS 2024
Long-form factuality in large language models NIPS 2024
Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE NIPS 2024
Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs NIPS 2024
Online Iterative Reinforcement Learning from Human Feedback with General Preference Model NIPS 2024
SlowFocus: Enhancing Fine-grained Temporal Understanding in Video LLM NIPS 2024
SWT-Bench: Testing and Validating Real-World Bug-Fixes with Code Agents NIPS 2024
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context NIPS 2024
AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents NIPS 2024
Improving Alignment and Robustness with Circuit Breakers NIPS 2024
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models NIPS 2024
Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation NIPS 2024
Cross-model Control: Improving Multiple Large Language Models in One-time Training NIPS 2024
One-Shot Safety Alignment for Large Language Models via Optimal Dualization NIPS 2024
EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization NIPS 2024
CultureLLM: Incorporating Cultural Differences into Large Language Models NIPS 2024
INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness NIPS 2024
SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models NIPS 2024
DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting NIPS 2024
In-Context Learning with Representations: Contextual Generalization of Trained Transformers NIPS 2024
Large Language Models Must Be Taught to Know What They Don’t Know NIPS 2024