Scaling Open-Ended Reasoning to Predict the Future
Fuente:
arXiv
Saved in:
| Main Authors: | Chandak, Nikhil, Goel, Shashwat, Prabhu, Ameya, Hardt, Moritz, Geiping, Jonas |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Answer Matching Outperforms Multiple Choice for Language Model Evaluation
by: Chandak, Nikhil, et al.
Published: (2025)
by: Chandak, Nikhil, et al.
Published: (2025)
FutureSim: Replaying World Events to Evaluate Adaptive Agents
by: Goel, Shashwat, et al.
Published: (2026)
by: Goel, Shashwat, et al.
Published: (2026)
Can Language Models Falsify? Evaluating Algorithmic Reasoning with Counterexample Creation
by: Sinha, Shiven, et al.
Published: (2025)
by: Sinha, Shiven, et al.
Published: (2025)
Great Models Think Alike and this Undermines AI Oversight
by: Goel, Shashwat, et al.
Published: (2025)
by: Goel, Shashwat, et al.
Published: (2025)
Proportional Aggregation of Preferences for Sequential Decision Making
by: Chandak, Nikhil, et al.
Published: (2023)
by: Chandak, Nikhil, et al.
Published: (2023)
ONEBench to Test Them All: Sample-Level Benchmarking Over Open-Ended Capabilities
by: Ghosh, Adhiraj, et al.
Published: (2024)
by: Ghosh, Adhiraj, et al.
Published: (2024)
Sample Smart, Not Hard: Correctness-First Decoding for Better Reasoning in LLMs
by: Li, Xueyan, et al.
Published: (2025)
by: Li, Xueyan, et al.
Published: (2025)
Test-Time Training on Nearest Neighbors for Large Language Models
by: Hardt, Moritz, et al.
Published: (2023)
by: Hardt, Moritz, et al.
Published: (2023)
Efficiently Dispatching Flash Attention For Partially Filled Attention Masks
by: Sharma, Agniv, et al.
Published: (2024)
by: Sharma, Agniv, et al.
Published: (2024)
Limits to Predicting Online Speech Using Large Language Models
by: Remeli, Mina, et al.
Published: (2024)
by: Remeli, Mina, et al.
Published: (2024)
Mapping Post-Training Forgetting in Language Models at Scale
by: Harmon, Jackson, et al.
Published: (2025)
by: Harmon, Jackson, et al.
Published: (2025)
Efficient Parallel Samplers for Recurrent-Depth Models and Their Connection to Diffusion Language Models
by: Geiping, Jonas, et al.
Published: (2025)
by: Geiping, Jonas, et al.
Published: (2025)
A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility
by: Hochlehnert, Andreas, et al.
Published: (2025)
by: Hochlehnert, Andreas, et al.
Published: (2025)
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
by: Geiping, Jonas, et al.
Published: (2025)
by: Geiping, Jonas, et al.
Published: (2025)
Training AI Co-Scientists Using Rubric Rewards
by: Goel, Shashwat, et al.
Published: (2025)
by: Goel, Shashwat, et al.
Published: (2025)
Pitfalls in Evaluating Language Model Forecasters
by: Paleka, Daniel, et al.
Published: (2025)
by: Paleka, Daniel, et al.
Published: (2025)
Multi-Stream LLMs: Unblocking Language Models with Parallel Streams of Thoughts, Inputs and Outputs
by: Su, Guinan, et al.
Published: (2026)
by: Su, Guinan, et al.
Published: (2026)
Corrective Machine Unlearning
by: Goel, Shashwat, et al.
Published: (2024)
by: Goel, Shashwat, et al.
Published: (2024)
Capability-Based Scaling Trends for LLM-Based Red-Teaming
by: Panfilov, Alexander, et al.
Published: (2025)
by: Panfilov, Alexander, et al.
Published: (2025)
Self-Rewarding Rubric-Based Reinforcement Learning for Open-Ended Reasoning
by: Ye, Zhiling, et al.
Published: (2025)
by: Ye, Zhiling, et al.
Published: (2025)
Evaluating language models as risk scores
by: Cruz, André F., et al.
Published: (2024)
by: Cruz, André F., et al.
Published: (2024)
What if I ask in \textit{alia lingua}? Measuring Functional Similarity Across Languages
by: Mishra, Debangan, et al.
Published: (2025)
by: Mishra, Debangan, et al.
Published: (2025)
CausalEvolve: Towards Open-Ended Discovery with Causal Scratchpad
by: Chen, Yongqiang, et al.
Published: (2026)
by: Chen, Yongqiang, et al.
Published: (2026)
ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution
by: Lange, Robert Tjarko, et al.
Published: (2025)
by: Lange, Robert Tjarko, et al.
Published: (2025)
Decoding Decoded: Understanding Hyperparameter Effects in Open-Ended Text Generation
by: Arias, Esteban Garces, et al.
Published: (2024)
by: Arias, Esteban Garces, et al.
Published: (2024)
Performative Prediction: Past and Future
by: Hardt, Moritz, et al.
Published: (2023)
by: Hardt, Moritz, et al.
Published: (2023)
Towards Better Open-Ended Text Generation: A Multicriteria Evaluation Framework
by: Arias, Esteban Garces, et al.
Published: (2024)
by: Arias, Esteban Garces, et al.
Published: (2024)
CLR-voyance: Reinforcing Open-Ended Reasoning for Inpatient Clinical Decision Support with Outcome-Aware Rubrics
by: Nagar, Aishik, et al.
Published: (2026)
by: Nagar, Aishik, et al.
Published: (2026)
Training on the Test Task Confounds Evaluation and Emergence
by: Dominguez-Olmedo, Ricardo, et al.
Published: (2024)
by: Dominguez-Olmedo, Ricardo, et al.
Published: (2024)
Loss-to-Loss Prediction: Scaling Laws for All Datasets
by: Brandfonbrener, David, et al.
Published: (2024)
by: Brandfonbrener, David, et al.
Published: (2024)
Dreaming in Code for Curriculum Learning in Open-Ended Worlds
by: Mitsides, Konstantinos, et al.
Published: (2026)
by: Mitsides, Konstantinos, et al.
Published: (2026)
Semantically-Aware Rewards for Open-Ended R1 Training in Free-Form Generation
by: Li, Zongxia, et al.
Published: (2025)
by: Li, Zongxia, et al.
Published: (2025)
REAL Sampling: Boosting Factuality and Diversity of Open-Ended Generation via Asymptotic Entropy
by: Chang, Haw-Shiuan, et al.
Published: (2024)
by: Chang, Haw-Shiuan, et al.
Published: (2024)
Wu's Method can Boost Symbolic AI to Rival Silver Medalists and AlphaGeometry to Outperform Gold Medalists at IMO Geometry
by: Sinha, Shiven, et al.
Published: (2024)
by: Sinha, Shiven, et al.
Published: (2024)
Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models
by: Zhang, Zhicheng, et al.
Published: (2025)
by: Zhang, Zhicheng, et al.
Published: (2025)
InfoQuest: Evaluating Multi-Turn Dialogue Agents for Open-Ended Conversations with Hidden Context
by: de Oliveira, Bryan L. M., et al.
Published: (2025)
by: de Oliveira, Bryan L. M., et al.
Published: (2025)
DIVERGE: Diversity-Enhanced RAG for Open-Ended Information Seeking
by: Hu, Tianyi, et al.
Published: (2026)
by: Hu, Tianyi, et al.
Published: (2026)
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
by: Samvelyan, Mikayel, et al.
Published: (2024)
by: Samvelyan, Mikayel, et al.
Published: (2024)
LLM generation novelty through the lens of semantic similarity
by: Davydov, Philipp, et al.
Published: (2025)
by: Davydov, Philipp, et al.
Published: (2025)
Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation
by: Arias, Esteban Garces, et al.
Published: (2024)
by: Arias, Esteban Garces, et al.
Published: (2024)
Similar Items
-
Answer Matching Outperforms Multiple Choice for Language Model Evaluation
by: Chandak, Nikhil, et al.
Published: (2025) -
FutureSim: Replaying World Events to Evaluate Adaptive Agents
by: Goel, Shashwat, et al.
Published: (2026) -
Can Language Models Falsify? Evaluating Algorithmic Reasoning with Counterexample Creation
by: Sinha, Shiven, et al.
Published: (2025) -
Great Models Think Alike and this Undermines AI Oversight
by: Goel, Shashwat, et al.
Published: (2025) -
Proportional Aggregation of Preferences for Sequential Decision Making
by: Chandak, Nikhil, et al.
Published: (2023)