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Large Language Models

6,405 papers

Papers per year

Papers

LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning NIPS 2024
Geometric-Averaged Preference Optimization for Soft Preference Labels NIPS 2024
Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing NIPS 2024
NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security NIPS 2024
EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations NIPS 2024
CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models NIPS 2024
To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty NIPS 2024
From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection NIPS 2024
Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization NIPS 2024
Algorithmic progress in language models NIPS 2024
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning NIPS 2024
CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses NIPS 2024
Efficient LLM Scheduling by Learning to Rank NIPS 2024
Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters NIPS 2024
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models NIPS 2024
S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity NIPS 2024
ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models NIPS 2024
ReMI: A Dataset for Reasoning with Multiple Images NIPS 2024
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search NIPS 2024
YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animals NIPS 2024
Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding NIPS 2024
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically NIPS 2024
$\textit{Trans-LoRA}$: towards data-free Transferable Parameter Efficient Finetuning NIPS 2024
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization NIPS 2024
Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels NIPS 2024