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Large Language Models

6,405 papers

Papers per year

Papers

Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers NIPS 2024
CriticEval: Evaluating Large-scale Language Model as Critic NIPS 2024
Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following NIPS 2024
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation NIPS 2024
GraphVis: Boosting LLMs with Visual Knowledge Graph Integration NIPS 2024
ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models NIPS 2024
Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers NIPS 2024
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models NIPS 2024
Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments NIPS 2024
ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification NIPS 2024
LLM Evaluators Recognize and Favor Their Own Generations NIPS 2024
Reasons and Solutions for the Decline in Model Performance after Editing NIPS 2024
On the Worst Prompt Performance of Large Language Models NIPS 2024
Thinking Forward: Memory-Efficient Federated Finetuning of Language Models NIPS 2024
Stress-Testing Capability Elicitation With Password-Locked Models NIPS 2024
Instruction Tuning With Loss Over Instructions NIPS 2024
A Large-Scale Human-Centric Benchmark for Referring Expression Comprehension in the LMM Era NIPS 2024
Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts NIPS 2024
WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment NIPS 2024
Improving Context-Aware Preference Modeling for Language Models NIPS 2024
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study NIPS 2024
On the Inductive Bias of Stacking Towards Improving Reasoning NIPS 2024
Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs NIPS 2024
OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding NIPS 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning NIPS 2024