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Large Language Models

2678 directly classified papers

Papers per year

Papers

Likelihood-based Mitigation of Evaluation Bias in Large Language Models ACL 2024
The Music Maestro or The Musically Challenged, A Massive Music Evaluation Benchmark for Large Language Models ACL 2024
Can Large Language Models Mine Interpretable Financial Factors More Effectively? A Neural-Symbolic Factor Mining Agent Model ACL 2024
SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models ACL 2024
Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives NIPS 2024
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization NIPS 2024
D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models NIPS 2024
AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data NIPS 2024
BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling NIPS 2024
MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs NIPS 2024
EffiBench: Benchmarking the Efficiency of Automatically Generated Code NIPS 2024
Representation Noising: A Defence Mechanism Against Harmful Finetuning NIPS 2024
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning NIPS 2024
From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When NIPS 2024
Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models NIPS 2024
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving NIPS 2024
Needle In A Multimodal Haystack NIPS 2024
Edit Distance Robust Watermarks via Indexing Pseudorandom Codes NIPS 2024
A Critical Evaluation of AI Feedback for Aligning Large Language Models NIPS 2024
EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models NIPS 2024
Bridge the Modality and Capability Gaps in Vision-Language Model Selection NIPS 2024
SpeedLoader: An I/O efficient scheme for heterogeneous and distributed LLM operation NIPS 2024
Aligning Large Language Models with Representation Editing: A Control Perspective NIPS 2024
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models NIPS 2024
Multi-Object Hallucination in Vision Language Models NIPS 2024