Collection by 
Sep 17, 2025
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Discover the best community collections!
Collections including paper arxiv:2402.14848
Collection by 
Nov 5, 2024
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Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models
Paper • 2402.14848 • Published • 19 -
The Prompt Report: A Systematic Survey of Prompting Techniques
Paper • 2406.06608 • Published • 68 -
CRAG -- Comprehensive RAG Benchmark
Paper • 2406.04744 • Published • 46 -
Transformers meet Neural Algorithmic Reasoners
Paper • 2406.09308 • Published • 44
Collection by 
Oct 1, 2025
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Evaluating Very Long-Term Conversational Memory of LLM Agents
Paper • 2402.17753 • Published • 19 -
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding
Paper • 2402.16671 • Published • 27 -
Do Large Language Models Latently Perform Multi-Hop Reasoning?
Paper • 2402.16837 • Published • 29 -
Divide-or-Conquer? Which Part Should You Distill Your LLM?
Paper • 2402.15000 • Published • 23
Collection by 
Jul 5, 2024
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Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping
Paper • 2402.14083 • Published • 47 -
Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models
Paper • 2402.14848 • Published • 19 -
A False Sense of Safety: Unsafe Information Leakage in 'Safe' AI Responses
Paper • 2407.02551 • Published • 9
Collection by 
Oct 17, 2025
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Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models
Paper • 2505.10554 • Published • 120 -
Chain-of-Model Learning for Language Model
Paper • 2505.11820 • Published • 121 -
On Path to Multimodal Generalist: General-Level and General-Bench
Paper • 2505.04620 • Published • 83 -
Causal-Copilot: An Autonomous Causal Analysis Agent
Paper • 2504.13263 • Published • 7
Collection by 
Mar 20, 2024
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When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
Paper • 2402.17193 • Published • 26 -
Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models
Paper • 2402.14848 • Published • 19 -
Instruction-tuned Language Models are Better Knowledge Learners
Paper • 2402.12847 • Published • 26 -
Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model
Paper • 2402.07827 • Published • 48
Collection by 
Feb 5, 2025
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Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models
Paper • 2402.14848 • Published • 19 -
Teaching Large Language Models to Reason with Reinforcement Learning
Paper • 2403.04642 • Published • 48 -
How Far Are We from Intelligent Visual Deductive Reasoning?
Paper • 2403.04732 • Published • 21 -
Learning to Reason and Memorize with Self-Notes
Paper • 2305.00833 • Published • 5
Collection by 
Apr 29, 2024
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InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Memory
Paper • 2402.04617 • Published • 6 -
BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences
Paper • 2403.09347 • Published • 22 -
Resonance RoPE: Improving Context Length Generalization of Large Language Models
Paper • 2403.00071 • Published • 24 -
Training-Free Long-Context Scaling of Large Language Models
Paper • 2402.17463 • Published • 24
Collection by Sep 17, 2025
Collection by Oct 17, 2025
-
Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models
Paper • 2505.10554 • Published • 120 -
Chain-of-Model Learning for Language Model
Paper • 2505.11820 • Published • 121 -
On Path to Multimodal Generalist: General-Level and General-Bench
Paper • 2505.04620 • Published • 83 -
Causal-Copilot: An Autonomous Causal Analysis Agent
Paper • 2504.13263 • Published • 7
Collection by Nov 5, 2024
-
Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models
Paper • 2402.14848 • Published • 19 -
The Prompt Report: A Systematic Survey of Prompting Techniques
Paper • 2406.06608 • Published • 68 -
CRAG -- Comprehensive RAG Benchmark
Paper • 2406.04744 • Published • 46 -
Transformers meet Neural Algorithmic Reasoners
Paper • 2406.09308 • Published • 44
Collection by Mar 20, 2024
-
When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
Paper • 2402.17193 • Published • 26 -
Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models
Paper • 2402.14848 • Published • 19 -
Instruction-tuned Language Models are Better Knowledge Learners
Paper • 2402.12847 • Published • 26 -
Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model
Paper • 2402.07827 • Published • 48
Collection by Oct 1, 2025
-
Evaluating Very Long-Term Conversational Memory of LLM Agents
Paper • 2402.17753 • Published • 19 -
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding
Paper • 2402.16671 • Published • 27 -
Do Large Language Models Latently Perform Multi-Hop Reasoning?
Paper • 2402.16837 • Published • 29 -
Divide-or-Conquer? Which Part Should You Distill Your LLM?
Paper • 2402.15000 • Published • 23
Collection by Feb 5, 2025
-
Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models
Paper • 2402.14848 • Published • 19 -
Teaching Large Language Models to Reason with Reinforcement Learning
Paper • 2403.04642 • Published • 48 -
How Far Are We from Intelligent Visual Deductive Reasoning?
Paper • 2403.04732 • Published • 21 -
Learning to Reason and Memorize with Self-Notes
Paper • 2305.00833 • Published • 5
Collection by Jul 5, 2024
-
Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping
Paper • 2402.14083 • Published • 47 -
Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models
Paper • 2402.14848 • Published • 19 -
A False Sense of Safety: Unsafe Information Leakage in 'Safe' AI Responses
Paper • 2407.02551 • Published • 9
Collection by Apr 29, 2024
-
InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Memory
Paper • 2402.04617 • Published • 6 -
BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences
Paper • 2403.09347 • Published • 22 -
Resonance RoPE: Improving Context Length Generalization of Large Language Models
Paper • 2403.00071 • Published • 24 -
Training-Free Long-Context Scaling of Large Language Models
Paper • 2402.17463 • Published • 24