Enregistré dans:
| Auteur principal: | Hewson, Joshua T. S. |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2411.04126 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Combining Theory of Mind and Kindness for Self-Supervised Human-AI Alignment
par: Hewson, Joshua T. S.
Publié: (2024)
par: Hewson, Joshua T. S.
Publié: (2024)
We Urgently Need Privilege Management in MCP: A Measurement of API Usage in MCP Ecosystems
par: Li, Zhihao, et autres
Publié: (2025)
par: Li, Zhihao, et autres
Publié: (2025)
One system for learning and remembering episodes and rules
par: Hewson, Joshua T. S., et autres
Publié: (2024)
par: Hewson, Joshua T. S., et autres
Publié: (2024)
What Kind of Visual Tokens Do We Need? Training-free Visual Token Pruning for Multi-modal Large Language Models from the Perspective of Graph
par: Jiang, Yutao, et autres
Publié: (2025)
par: Jiang, Yutao, et autres
Publié: (2025)
Were RNNs All We Needed?
par: Feng, Leo, et autres
Publié: (2024)
par: Feng, Leo, et autres
Publié: (2024)
HCC Is All You Need: Alignment-The Sensible Kind Anyway-Is Just Human-Centered Computing
par: Gilbert, Eric
Publié: (2024)
par: Gilbert, Eric
Publié: (2024)
Three Kinds of AI Ethics
par: Ratti, Emanuele
Publié: (2025)
par: Ratti, Emanuele
Publié: (2025)
Three Kinds of Negation in Knowledge and Their Mathematical Foundations
par: Pan, Zhenghua, et autres
Publié: (2025)
par: Pan, Zhenghua, et autres
Publié: (2025)
Position: We Need An Algorithmic Understanding of Generative AI
par: Eberle, Oliver, et autres
Publié: (2025)
par: Eberle, Oliver, et autres
Publié: (2025)
X-Node: Self-Explanation is All We Need
par: Sengupta, Prajit, et autres
Publié: (2025)
par: Sengupta, Prajit, et autres
Publié: (2025)
Towards a Formal Theory of the Need for Competence via Computational Intrinsic Motivation
par: Lintunen, Erik M., et autres
Publié: (2025)
par: Lintunen, Erik M., et autres
Publié: (2025)
Why We Need a New Framework for Emotional Intelligence in AI
par: Parks, Max, et autres
Publié: (2025)
par: Parks, Max, et autres
Publié: (2025)
We Need Improved Data Curation and Attribution in AI for Scientific Discovery
par: Graziani, Mara, et autres
Publié: (2025)
par: Graziani, Mara, et autres
Publié: (2025)
Improving Intrinsic Exploration by Creating Stationary Objectives
par: Castanyer, Roger Creus, et autres
Publié: (2023)
par: Castanyer, Roger Creus, et autres
Publié: (2023)
Are Tools All We Need? Unveiling the Tool-Use Tax in LLM Agents
par: Zhang, Kaituo, et autres
Publié: (2026)
par: Zhang, Kaituo, et autres
Publié: (2026)
When Do We Need LLMs? A Diagnostic for Language-Driven Bandits
par: Berdica, Uljad, et autres
Publié: (2026)
par: Berdica, Uljad, et autres
Publié: (2026)
We Need to Measure Data Diversity in NLP -- Better and Broader
par: Nguyen, Dong, et autres
Publié: (2025)
par: Nguyen, Dong, et autres
Publié: (2025)
How Far Are We From AGI: Are LLMs All We Need?
par: Feng, Tao, et autres
Publié: (2024)
par: Feng, Tao, et autres
Publié: (2024)
Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study
par: Vhaduri, Sudip, et autres
Publié: (2026)
par: Vhaduri, Sudip, et autres
Publié: (2026)
Logits are All We Need to Adapt Closed Models
par: Hiranandani, Gaurush, et autres
Publié: (2025)
par: Hiranandani, Gaurush, et autres
Publié: (2025)
Critical Thinking: Which Kinds of Complexity Govern Optimal Reasoning Length?
par: Lee, Celine, et autres
Publié: (2025)
par: Lee, Celine, et autres
Publié: (2025)
Do We Really Need to Approach the Entire Pareto Front in Many-Objective Bayesian Optimisation?
par: Jiang, Chao, et autres
Publié: (2026)
par: Jiang, Chao, et autres
Publié: (2026)
Scalable Machines with Intrinsic Higher Mental-State Dynamics
par: Adeel, Ahsan, et autres
Publié: (2026)
par: Adeel, Ahsan, et autres
Publié: (2026)
Do We Need Frontier Models to Verify Mathematical Proofs?
par: Naik, Aaditya, et autres
Publié: (2026)
par: Naik, Aaditya, et autres
Publié: (2026)
Find A Winning Sign: Sign Is All We Need to Win the Lottery
par: Oh, Junghun, et autres
Publié: (2025)
par: Oh, Junghun, et autres
Publié: (2025)
Are We Done with MMLU?
par: Gema, Aryo Pradipta, et autres
Publié: (2024)
par: Gema, Aryo Pradipta, et autres
Publié: (2024)
Can LLMs Detect Intrinsic Hallucinations in Paraphrasing and Machine Translation?
par: Gogoulou, Evangelia, et autres
Publié: (2025)
par: Gogoulou, Evangelia, et autres
Publié: (2025)
Do We Need Adam? Surprisingly Strong and Sparse Reinforcement Learning with SGD in LLMs
par: Mukherjee, Sagnik, et autres
Publié: (2026)
par: Mukherjee, Sagnik, et autres
Publié: (2026)
Do We Really Need a Large Number of Visual Prompts?
par: Kim, Youngeun, et autres
Publié: (2023)
par: Kim, Youngeun, et autres
Publié: (2023)
Pharmacology Knowledge Graphs: Do We Need Chemical Structure for Drug Repurposing?
par: Abo-Dahab, Youssef, et autres
Publié: (2026)
par: Abo-Dahab, Youssef, et autres
Publié: (2026)
MambaOut: Do We Really Need Mamba for Vision?
par: Yu, Weihao, et autres
Publié: (2024)
par: Yu, Weihao, et autres
Publié: (2024)
Do We Need Large VLMs for Spotting Soccer Actions?
par: Chakraborty, Ritabrata, et autres
Publié: (2025)
par: Chakraborty, Ritabrata, et autres
Publié: (2025)
Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need
par: Dedhia, Bhishma, et autres
Publié: (2025)
par: Dedhia, Bhishma, et autres
Publié: (2025)
Should We be Pedantic About Reasoning Errors in Machine Translation?
par: Bao, Calvin, et autres
Publié: (2026)
par: Bao, Calvin, et autres
Publié: (2026)
Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute
par: Chen, Jianhao, et autres
Publié: (2025)
par: Chen, Jianhao, et autres
Publié: (2025)
Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems
par: Fan, Dongzhe, et autres
Publié: (2026)
par: Fan, Dongzhe, et autres
Publié: (2026)
Do We Need to Verify Step by Step? Rethinking Process Supervision from a Theoretical Perspective
par: Jia, Zeyu, et autres
Publié: (2025)
par: Jia, Zeyu, et autres
Publié: (2025)
Value Entanglement: Conflation Between Different Kinds of Good In (Some) Large Language Models
par: Cho, Seong Hah, et autres
Publié: (2026)
par: Cho, Seong Hah, et autres
Publié: (2026)
Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection
par: Hakimi, Ahmad Dawar, et autres
Publié: (2026)
par: Hakimi, Ahmad Dawar, et autres
Publié: (2026)
QLLM: Do We Really Need a Mixing Network for Credit Assignment in Multi-Agent Reinforcement Learning?
par: Li, Yuanjun, et autres
Publié: (2025)
par: Li, Yuanjun, et autres
Publié: (2025)
Documents similaires
-
Combining Theory of Mind and Kindness for Self-Supervised Human-AI Alignment
par: Hewson, Joshua T. S.
Publié: (2024) -
We Urgently Need Privilege Management in MCP: A Measurement of API Usage in MCP Ecosystems
par: Li, Zhihao, et autres
Publié: (2025) -
One system for learning and remembering episodes and rules
par: Hewson, Joshua T. S., et autres
Publié: (2024) -
What Kind of Visual Tokens Do We Need? Training-free Visual Token Pruning for Multi-modal Large Language Models from the Perspective of Graph
par: Jiang, Yutao, et autres
Publié: (2025) -
Were RNNs All We Needed?
par: Feng, Leo, et autres
Publié: (2024)