Collection by
Apr 1, 2024
Apr 1, 2024
Collections
Discover the best community collections!
Collections including paper arxiv:2402.14020
Collection by
Nov 27, 2024
Nov 27, 2024
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Evaluating Very Long-Term Conversational Memory of LLM Agents
Paper • 2402.17753 • Published • 18 -
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding
Paper • 2402.16671 • Published • 26 -
Do Large Language Models Latently Perform Multi-Hop Reasoning?
Paper • 2402.16837 • Published • 24 -
Divide-or-Conquer? Which Part Should You Distill Your LLM?
Paper • 2402.15000 • Published • 22
Collection by
Feb 28, 2024
Feb 28, 2024
Collection by
Jun 14, 2024
Jun 14, 2024
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Watermarking Makes Language Models Radioactive
Paper • 2402.14904 • Published • 23 -
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition
Paper • 2402.15220 • Published • 19 -
GPTVQ: The Blessing of Dimensionality for LLM Quantization
Paper • 2402.15319 • Published • 19 -
DiLightNet: Fine-grained Lighting Control for Diffusion-based Image Generation
Paper • 2402.11929 • Published • 10
Collection by
Feb 26, 2024
Feb 26, 2024
Collection by
Apr 23, 2024
Apr 23, 2024
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PALO: A Polyglot Large Multimodal Model for 5B People
Paper • 2402.14818 • Published • 23 -
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
Paper • 2402.13753 • Published • 114 -
User-LLM: Efficient LLM Contextualization with User Embeddings
Paper • 2402.13598 • Published • 19 -
Coercing LLMs to do and reveal (almost) anything
Paper • 2402.14020 • Published • 12
Collection by
Feb 23, 2024
Feb 23, 2024
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TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
Paper • 2402.13249 • Published • 11 -
The FinBen: An Holistic Financial Benchmark for Large Language Models
Paper • 2402.12659 • Published • 17 -
Instruction-tuned Language Models are Better Knowledge Learners
Paper • 2402.12847 • Published • 25 -
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models
Paper • 2402.13064 • Published • 47
Collection by
Mar 30, 2024
Mar 30, 2024
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Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper • 2401.17464 • Published • 17 -
Transforming and Combining Rewards for Aligning Large Language Models
Paper • 2402.00742 • Published • 11 -
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Paper • 2402.03300 • Published • 76 -
Specialized Language Models with Cheap Inference from Limited Domain Data
Paper • 2402.01093 • Published • 45
Collection by
Sep 10, 2024
Sep 10, 2024
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PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models
Paper • 2402.08714 • Published • 11 -
Data Engineering for Scaling Language Models to 128K Context
Paper • 2402.10171 • Published • 23 -
RLVF: Learning from Verbal Feedback without Overgeneralization
Paper • 2402.10893 • Published • 10 -
Coercing LLMs to do and reveal (almost) anything
Paper • 2402.14020 • Published • 12
Collection by
Nov 19, 2024
Nov 19, 2024
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 145 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 29 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 21 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 66