Copertina

Training Language Models to Win Debates with Self-Play Improves Judge Accuracy

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Arnesen, Samuel, Rein, David, Michael, Julian
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence I.2.0; I.2.6
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Revisiting Parameter-Based Knowledge Editing in Large Language Models: Theoretical Limits and Empirical Evidence
di: Ren, Wanying, et al.
Pubblicazione: (2026)

Interpretability-Guided Bi-objective Optimization: Aligning Accuracy and Explainability
di: Fouladi, Kasra, et al.
Pubblicazione: (2026)

Intervention Complexity as a Canonical Reward and a Measure of Intelligence
di: McCane, Brendan
Pubblicazione: (2026)

ARCTraj: A Dataset and Benchmark of Human Reasoning Trajectories for Abstract Problem Solving
di: Kim, Sejin, et al.
Pubblicazione: (2025)

Position Paper: Bounded Alignment: What (Not) To Expect From AGI Agents
di: Minai, Ali A.
Pubblicazione: (2025)

Beyond Mimicry: Preference Coherence in LLMs
di: Mikaelson, Luhan, et al.
Pubblicazione: (2025)

The Drill-Down and Fabricate Test (DDFT): A Protocol for Measuring Epistemic Robustness in Language Models
di: Baxi, Rahul
Pubblicazione: (2025)

Augmenting deep neural networks with symbolic knowledge: Towards trustworthy and interpretable AI for education
di: Hooshyar, Danial, et al.
Pubblicazione: (2023)

An Axiomatic Approach to General Intelligence: SANC(E3) -- Self-organizing Active Network of Concepts with Energy E3
di: Kwon, Daesuk, et al.
Pubblicazione: (2026)

Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey
di: Vegner, Ivan, et al.
Pubblicazione: (2025)

Perturbation Dose Responses in Recursive LLM Loops: Raw Switching, Stochastic Floors, and Persistent Escape under Append, Replace, and Dialog Updates
di: Kaplanski, Pawel
Pubblicazione: (2026)

Incentives or Ontology? A Structural Rebuttal to OpenAI's Hallucination Thesis
di: Ackermann, Richard, et al.
Pubblicazione: (2025)

Super-additive Cooperation in Language Model Agents
di: Tonini, Filippo, et al.
Pubblicazione: (2025)

The Parameters of Educability
di: Valiant, Leslie G.
Pubblicazione: (2024)

Graceful task adaptation with a bi-hemispheric RL agent
di: Nicholas, Grant, et al.
Pubblicazione: (2024)

Reasoning Beyond the Obvious: Evaluating Divergent and Convergent Thinking in LLMs for Financial Scenarios
di: Bok, Zhuang Qiang, et al.
Pubblicazione: (2025)

Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach
di: Elliker, Clément, et al.
Pubblicazione: (2025)

Uncertainty-Aware Reward Discounting for Mitigating Reward Hacking
di: Singha, Disha
Pubblicazione: (2026)

A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19
di: Khandelwal, Vedant, et al.
Pubblicazione: (2024)

The Efficiency Attenuation Phenomenon: A Computational Challenge to the Language of Thought Hypothesis
di: Zhang, Di
Pubblicazione: (2026)

TwinVoice: A Multi-dimensional Benchmark Towards Digital Twins via LLM Persona Simulation
di: Du, Bangde, et al.
Pubblicazione: (2025)

The ARC of Progress towards AGI: A Living Survey of Abstraction and Reasoning
di: Vahdati, Sahar, et al.
Pubblicazione: (2026)

Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward Profiles
di: Howard, Rhys, et al.
Pubblicazione: (2025)

Emergence of Self-Awareness in Artificial Systems: A Minimalist Three-Layer Approach to Artificial Consciousness
di: Iida, Kurando
Pubblicazione: (2025)

Deep Reinforcement Learning for Adverse Garage Scenario Generation
di: Li, Kai
Pubblicazione: (2024)

Position: Mechanistic Interpretability Must Disclose Identification Assumptions for Causal Claims
di: Lin, Zezheng, et al.
Pubblicazione: (2026)

An Automatic Text Classification Method Based on Hierarchical Taxonomies, Neural Networks and Document Embedding: The NETHIC Tool
di: Lomasto, Luigi, et al.
Pubblicazione: (2026)

Pioneer Agent: Continual Improvement of Small Language Models in Production
di: Atreja, Dhruv, et al.
Pubblicazione: (2026)

Scalable APT Malware Classification via Parallel Feature Extraction and GPU-Accelerated Learning
di: Subedar, Noah, et al.
Pubblicazione: (2025)

FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision
di: Ma, Jingxiao, et al.
Pubblicazione: (2025)

Automated Circuit Interpretation via Probe Prompting
di: Birardi, Giuseppe
Pubblicazione: (2025)

Improving Fairness with Ensemble Combination: Margin-Dependent Bounds
di: Bian, Yijun
Pubblicazione: (2023)

Choosing DAG Models Using Markov and Minimal Edge Count in the Absence of Ground Truth
di: Ramsey, Joseph D., et al.
Pubblicazione: (2024)

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition
di: Nfissi, Alaa, et al.
Pubblicazione: (2025)

The Information-Theoretic Imperative: Compression and the Epistemic Foundations of Intelligence
di: Dittrich, Christian, et al.
Pubblicazione: (2025)

Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality
di: Ged, François, et al.
Pubblicazione: (2023)

LaPro-DTA: Latent Dual-View Drug Representations and Salient Protein Feature Extraction for Generalizable Drug--Target Affinity Prediction
di: Dun, Zihan, et al.
Pubblicazione: (2026)

SIA: Self Improving AI with Harness & Weight Updates
di: Hebbar, Prannay, et al.
Pubblicazione: (2026)

Implicit Counterfactual Data Augmentation for Robust Learning
di: Zhou, Xiaoling, et al.
Pubblicazione: (2023)

Vector Symbolic Architectures answer Jackendoff's challenges for cognitive neuroscience
di: Gayler, Ross W.
Pubblicazione: (2004)