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Large Language Models

6,405 papers

Papers per year

Papers

MAmmoTH2: Scaling Instructions from the Web NIPS 2024
Imitating Language via Scalable Inverse Reinforcement Learning NIPS 2024
Aligner: Efficient Alignment by Learning to Correct NIPS 2024
Scaling Retrieval-Based Language Models with a Trillion-Token Datastore NIPS 2024
Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale NIPS 2024
BeanCounter: A low-toxicity, large-scale, and open dataset of business-oriented text NIPS 2024
Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning NIPS 2024
Mitigating Object Hallucination via Concentric Causal Attention NIPS 2024
Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration NIPS 2024
On the Effects of Data Scale on UI Control Agents NIPS 2024
ConStat: Performance-Based Contamination Detection in Large Language Models NIPS 2024
What Makes and Breaks Safety Fine-tuning? A Mechanistic Study NIPS 2024
Multi-Head Mixture-of-Experts NIPS 2024
Hypothesis Testing the Circuit Hypothesis in LLMs NIPS 2024
SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation NIPS 2024
Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset NIPS 2024
Grokking of Implicit Reasoning in Transformers: A Mechanistic Journey to the Edge of Generalization NIPS 2024
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark NIPS 2024
Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads NIPS 2024
Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models NIPS 2024
FinBen: A Holistic Financial Benchmark for Large Language Models NIPS 2024
ContextCite: Attributing Model Generation to Context NIPS 2024
Bootstrapping Cognitive Agents with a Large Language Model AAAI 2024
Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning AAAI 2024
Text-to-Image Generation for Abstract Concepts AAAI 2024