Cover Image

GEAR: A General Evaluation Framework for Abductive Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	He, Kaiyu, Wu, Peilin, Zhang, Mian, Wan, Kun, Zhao, Wentian, Du, Xinya, Chen, Zhiyu
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HiPRAG: Hierarchical Process Rewards for Efficient Agentic Retrieval Augmented Generation
by: Wu, Peilin, et al.
Published: (2025)

AMARIS: A Memory-Augmented Rubric Improvement System for Rubric-Based Reinforcement Learning
by: Wu, Peilin, et al.
Published: (2026)

Is Grokking Worthwhile? Functional Analysis and Transferability of Generalization Circuits in Transformers
by: He, Kaiyu, et al.
Published: (2026)

Do Retrieval-Augmented Language Models Adapt to Varying User Needs?
by: Wu, Peilin, et al.
Published: (2025)

Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty
by: Wu, Peilin, et al.
Published: (2025)

IDEA: Enhancing the Rule Learning Ability of Large Language Model Agent through Induction, Deduction, and Abduction
by: He, Kaiyu, et al.
Published: (2024)

NeSTR: A Neuro-Symbolic Abductive Framework for Temporal Reasoning in Large Language Models
by: Liang, Feng, et al.
Published: (2025)

GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM
by: Kang, Hao, et al.
Published: (2024)

GEAR: Granularity-Adaptive Advantage Reweighting for LLM Agents via Self-Distillation
by: Li, Sijia, et al.
Published: (2026)

From Reasoning to Learning: A Survey on Hypothesis Discovery and Rule Learning with Large Language Models
by: He, Kaiyu, et al.
Published: (2025)

Representational Homomorphism Predicts and Improves Compositional Generalization In Transformer Language Model
by: An, Zhiyu, et al.
Published: (2026)

MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models Agents
by: Li, Ruochen, et al.
Published: (2024)

RLAC: Reinforcement Learning with Adversarial Critic for Free-Form Generation Tasks
by: Wu, Mian, et al.
Published: (2025)

MMLU-SR: A Benchmark for Stress-Testing Reasoning Capability of Large Language Models
by: Wang, Wentian, et al.
Published: (2024)

Open Problems in Differentiable Social Choice: Learning Mechanisms, Decisions, and Alignment
by: An, Zhiyu, et al.
Published: (2026)

On Designing Effective RL Reward at Training Time for LLM Reasoning
by: Gao, Jiaxuan, et al.
Published: (2024)

When Does Multi-Agent RL Improve LLM Workflows? Workflow, Scale, and Policy-Sharing Tradeoffs
by: Zeng, Yifan, et al.
Published: (2026)

Evaluation is All You Need: Strategic Overclaiming of LLM Reasoning Capabilities Through Evaluation Design
by: Sun, Lin, et al.
Published: (2025)

Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning
by: Xu, Fangzhi, et al.
Published: (2025)

Foundational Automatic Evaluators: Scaling Multi-Task Generative Evaluator Training for Reasoning-Centric Domains
by: Xu, Austin, et al.
Published: (2025)

Specialised or Generic? Tokenization Choices for Radiology Language Models
by: Warr, Hermione, et al.
Published: (2025)

Reasoning-Driven Synthetic Data Generation and Evaluation
by: Davidson, Tim R., et al.
Published: (2026)

LogQuant: Log-Distributed 2-Bit Quantization of KV Cache with Superior Accuracy Preservation
by: Chen, Han, et al.
Published: (2025)

Efficient Self-Improvement in Multimodal Large Language Models: A Model-Level Judge-Free Approach
by: Deng, Shijian, et al.
Published: (2024)

Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection
by: Hu, Wen-Chao, et al.
Published: (2024)

Generative Evaluation of Complex Reasoning in Large Language Models
by: Lin, Haowei, et al.
Published: (2025)

DeduCE: Deductive Consistency as a Framework to Evaluate LLM Reasoning
by: Pandey, Atharva, et al.
Published: (2025)

SABER: Switchable and Balanced Training for Efficient LLM Reasoning
by: Zhao, Kai, et al.
Published: (2025)

PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation
by: Gong, Albert, et al.
Published: (2025)

Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning
by: Yue, Murong, et al.
Published: (2023)

Reasoning through Exploration: A Reinforcement Learning Framework for Robust Function Calling
by: Hao, Bingguang, et al.
Published: (2025)

KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation
by: Shi, Jiajun, et al.
Published: (2025)

TTSR: Test-Time Self-Reflection for Continual Reasoning Improvement
by: He, Haoyang, et al.
Published: (2026)

StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs through Knowledge-Reasoning Fusion
by: Wu, Yutong, et al.
Published: (2025)

Curriculum Abductive Learning
by: Hu, Wen-Chao, et al.
Published: (2025)

Wiring the 'Why': A Unified Taxonomy and Survey of Abductive Reasoning in LLMs
by: Salimi, Moein, et al.
Published: (2026)

Titans: Learning to Memorize at Test Time
by: Behrouz, Ali, et al.
Published: (2024)

Scaling Reasoning without Attention
by: Zhao, Xueliang, et al.
Published: (2025)

Speculative Decoding Meets Quantization: Compatibility Evaluation and Hierarchical Framework Design
by: Zhang, Yudi, et al.
Published: (2025)

Evaluating Embedding Frameworks for Scientific Domain
by: Ahmed, Nouman, et al.
Published: (2025)