Mutagenesis screen to map the functions of parameters of Large Language Models
Fuente:
arXiv
Guardado en:
| Autores principales: | Hu, Yue, Hu, Gang, Zheng, Jixin, Zhao, Patrick X., Wang, Ruimeng |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Case-Based Persistent Memory for a Large Language Model
por: Watson, Ian
Publicado: (2023)
por: Watson, Ian
Publicado: (2023)
Do Chains-of-Thoughts of Large Language Models Suffer from Hallucinations, Cognitive Biases, or Phobias in Bayesian Reasoning?
por: Araya, Roberto
Publicado: (2025)
por: Araya, Roberto
Publicado: (2025)
Modeling Emotions and Ethics with Large Language Models
por: Chang, Edward Y.
Publicado: (2024)
por: Chang, Edward Y.
Publicado: (2024)
Quo Vadis ChatGPT? From Large Language Models to Large Knowledge Models
por: Venkatasubramanian, Venkat, et al.
Publicado: (2024)
por: Venkatasubramanian, Venkat, et al.
Publicado: (2024)
Reducing Selection Bias in Large Language Models
por: Eicher, J. E., et al.
Publicado: (2024)
por: Eicher, J. E., et al.
Publicado: (2024)
Large Language Models are Autonomous Cyber Defenders
por: Castro, Sebastián R., et al.
Publicado: (2025)
por: Castro, Sebastián R., et al.
Publicado: (2025)
Revisiting Parameter-Based Knowledge Editing in Large Language Models: Theoretical Limits and Empirical Evidence
por: Ren, Wanying, et al.
Publicado: (2026)
por: Ren, Wanying, et al.
Publicado: (2026)
OG-RAG: Ontology-Grounded Retrieval-Augmented Generation For Large Language Models
por: Sharma, Kartik, et al.
Publicado: (2024)
por: Sharma, Kartik, et al.
Publicado: (2024)
Cognition is All You Need -- The Next Layer of AI Above Large Language Models
por: Spivack, Nova, et al.
Publicado: (2024)
por: Spivack, Nova, et al.
Publicado: (2024)
Appraisal-Guided Proximal Policy Optimization: Modeling Psychological Disorders in Dynamic Grid World
por: Prasad, Hari, et al.
Publicado: (2024)
por: Prasad, Hari, et al.
Publicado: (2024)
Evaluating Large Language Models for Causal Modeling
por: Razouk, Houssam, et al.
Publicado: (2024)
por: Razouk, Houssam, et al.
Publicado: (2024)
From Language Models to Practical Self-Improving Computer Agents
por: Sheng, Alex
Publicado: (2024)
por: Sheng, Alex
Publicado: (2024)
Resource-Efficient Language Models: Quantization for Fast and Accessible Inference
por: Jørgensen, Tollef Emil
Publicado: (2025)
por: Jørgensen, Tollef Emil
Publicado: (2025)
Machine Learning and Theory Ladenness -- A Phenomenological Account
por: Termine, Alberto, et al.
Publicado: (2024)
por: Termine, Alberto, et al.
Publicado: (2024)
Complete Implementation of WXF Chinese Chess Rules
por: Tan, Daniel, et al.
Publicado: (2024)
por: Tan, Daniel, et al.
Publicado: (2024)
Developing trustworthy AI applications with foundation models
por: Mock, Michael, et al.
Publicado: (2024)
por: Mock, Michael, et al.
Publicado: (2024)
How VADER is your AI? Towards a definition of artificial intelligence systems appropriate for regulation
por: Bezerra, Leonardo C. T., et al.
Publicado: (2024)
por: Bezerra, Leonardo C. T., et al.
Publicado: (2024)
Interpolative Decoding: Exploring the Spectrum of Personality Traits in LLMs
por: Yeh, Eric, et al.
Publicado: (2025)
por: Yeh, Eric, et al.
Publicado: (2025)
Self-evolving expertise in complex non-verifiable subject domains: dialogue as implicit meta-RL
por: Bailey, Richard M.
Publicado: (2025)
por: Bailey, Richard M.
Publicado: (2025)
Reward is not enough: can we liberate AI from the reinforcement learning paradigm?
por: Glukhov, Vacslav
Publicado: (2022)
por: Glukhov, Vacslav
Publicado: (2022)
Discerning What Matters: A Multi-Dimensional Assessment of Moral Competence in LLMs
por: Kilov, Daniel, et al.
Publicado: (2025)
por: Kilov, Daniel, et al.
Publicado: (2025)
From Pixels to Digital Agents: An Empirical Study on the Taxonomy and Technological Trends of Reinforcement Learning Environments
por: Luo, Lijing, et al.
Publicado: (2026)
por: Luo, Lijing, et al.
Publicado: (2026)
HCAST: Human-Calibrated Autonomy Software Tasks
por: Rein, David, et al.
Publicado: (2025)
por: Rein, David, et al.
Publicado: (2025)
Sensemaking in Novel Environments: How Human Cognition Can Inform Artificial Agents
por: Patterson, Robert E., et al.
Publicado: (2025)
por: Patterson, Robert E., et al.
Publicado: (2025)
Training Language Models to Win Debates with Self-Play Improves Judge Accuracy
por: Arnesen, Samuel, et al.
Publicado: (2024)
por: Arnesen, Samuel, et al.
Publicado: (2024)
How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning
por: Singh, Siddarth, et al.
Publicado: (2023)
por: Singh, Siddarth, et al.
Publicado: (2023)
Efficiently Quantifying Individual Agent Importance in Cooperative MARL
por: Mahjoub, Omayma, et al.
Publicado: (2023)
por: Mahjoub, Omayma, et al.
Publicado: (2023)
Super-additive Cooperation in Language Model Agents
por: Tonini, Filippo, et al.
Publicado: (2025)
por: Tonini, Filippo, et al.
Publicado: (2025)
In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors in Pretrained Language Models
por: Han, Pengrui, et al.
Publicado: (2024)
por: Han, Pengrui, et al.
Publicado: (2024)
How Data Quality Affects Machine Learning Models for Credit Risk Assessment
por: Maurino, Andrea
Publicado: (2025)
por: Maurino, Andrea
Publicado: (2025)
EduQate: Generating Adaptive Curricula through RMABs in Education Settings
por: Tio, Sidney, et al.
Publicado: (2024)
por: Tio, Sidney, et al.
Publicado: (2024)
Pareto-Optimized Open-Source LLMs for Healthcare via Context Retrieval
por: Bayarri-Planas, Jordi, et al.
Publicado: (2024)
por: Bayarri-Planas, Jordi, et al.
Publicado: (2024)
Intervention Complexity as a Canonical Reward and a Measure of Intelligence
por: McCane, Brendan
Publicado: (2026)
por: McCane, Brendan
Publicado: (2026)
Benchmarking AI for low-resource contexts: Thinking beyond leaderboards
por: Pant, Aakash, et al.
Publicado: (2026)
por: Pant, Aakash, et al.
Publicado: (2026)
Right-to-Act: A Pre-Execution Non-Compensatory Decision Protocol for AI Systems
por: Lavi, Gadi
Publicado: (2026)
por: Lavi, Gadi
Publicado: (2026)
ARCTraj: A Dataset and Benchmark of Human Reasoning Trajectories for Abstract Problem Solving
por: Kim, Sejin, et al.
Publicado: (2025)
por: Kim, Sejin, et al.
Publicado: (2025)
Position Paper: Bounded Alignment: What (Not) To Expect From AGI Agents
por: Minai, Ali A.
Publicado: (2025)
por: Minai, Ali A.
Publicado: (2025)
Beyond Mimicry: Preference Coherence in LLMs
por: Mikaelson, Luhan, et al.
Publicado: (2025)
por: Mikaelson, Luhan, et al.
Publicado: (2025)
Fanar: An Arabic-Centric Multimodal Generative AI Platform
por: Fanar Team, et al.
Publicado: (2025)
por: Fanar Team, et al.
Publicado: (2025)
Mining Large Language Models for Low-Resource Language Data: Comparing Elicitation Strategies for Hausa and Fongbe
por: Adjovi, Mahounan Pericles, et al.
Publicado: (2026)
por: Adjovi, Mahounan Pericles, et al.
Publicado: (2026)
Ejemplares similares
-
A Case-Based Persistent Memory for a Large Language Model
por: Watson, Ian
Publicado: (2023) -
Do Chains-of-Thoughts of Large Language Models Suffer from Hallucinations, Cognitive Biases, or Phobias in Bayesian Reasoning?
por: Araya, Roberto
Publicado: (2025) -
Modeling Emotions and Ethics with Large Language Models
por: Chang, Edward Y.
Publicado: (2024) -
Quo Vadis ChatGPT? From Large Language Models to Large Knowledge Models
por: Venkatasubramanian, Venkat, et al.
Publicado: (2024) -
Reducing Selection Bias in Large Language Models
por: Eicher, J. E., et al.
Publicado: (2024)