Collection by
28 days ago
28 days ago
Collections
Discover the best community collections!
Collections including paper arxiv:2402.17463
Collection by
Apr 26
Apr 26
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Evaluating Very Long-Term Conversational Memory of LLM Agents
Paper • 2402.17753 • Published • 17 -
Training-Free Long-Context Scaling of Large Language Models
Paper • 2402.17463 • Published • 18 -
Resonance RoPE: Improving Context Length Generalization of Large Language Models
Paper • 2403.00071 • Published • 19 -
BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences
Paper • 2403.09347 • Published • 20
Collection by
Mar 1
Mar 1
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 567 -
When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
Paper • 2402.17193 • Published • 23 -
Training-Free Long-Context Scaling of Large Language Models
Paper • 2402.17463 • Published • 18 -
The Power of Scale for Parameter-Efficient Prompt Tuning
Paper • 2104.08691 • Published • 6
Collection by
28 days ago
28 days ago
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Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 50 -
Beyond Language Models: Byte Models are Digital World Simulators
Paper • 2402.19155 • Published • 45 -
StarCoder 2 and The Stack v2: The Next Generation
Paper • 2402.19173 • Published • 125 -
Simple linear attention language models balance the recall-throughput tradeoff
Paper • 2402.18668 • Published • 17
Collection by
6 days ago
6 days ago
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LoRA+: Efficient Low Rank Adaptation of Large Models
Paper • 2402.12354 • Published • 5 -
The FinBen: An Holistic Financial Benchmark for Large Language Models
Paper • 2402.12659 • Published • 13 -
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
Paper • 2402.13249 • Published • 10 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 62
Collection by
about 18 hours ago
about 18 hours ago
Collection by
13 days ago
13 days ago
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Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping
Paper • 2402.14083 • Published • 43 -
Linear Transformers are Versatile In-Context Learners
Paper • 2402.14180 • Published • 5 -
Training-Free Long-Context Scaling of Large Language Models
Paper • 2402.17463 • Published • 18 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 567
Collection by
Apr 29
Apr 29
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InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Memory
Paper • 2402.04617 • Published • 4 -
BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences
Paper • 2403.09347 • Published • 20 -
Resonance RoPE: Improving Context Length Generalization of Large Language Models
Paper • 2403.00071 • Published • 19 -
Training-Free Long-Context Scaling of Large Language Models
Paper • 2402.17463 • Published • 18
Collection by
Mar 28
Mar 28
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 135 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 27 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 19 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 62
Collection by
Mar 5
Mar 5
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Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Paper • 2312.00752 • Published • 131 -
SparQ Attention: Bandwidth-Efficient LLM Inference
Paper • 2312.04985 • Published • 35 -
Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models
Paper • 2401.04658 • Published • 24 -
E^2-LLM: Efficient and Extreme Length Extension of Large Language Models
Paper • 2401.06951 • Published • 23