Cover Image

Scaling Trends for Multi-Hop Contextual Reasoning in Mid-Scale Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Steele, Brady, Katz, Micah
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Machine Learning I.2.6; I.2.7; I.2.8
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Limits of Learned Importance Scoring for KV Cache Compression
by: Steele, Brady
Published: (2026)

SCULPT: Constraint-Guided Pruned MCTS that Carves Efficient Paths for Mathematical Reasoning
by: Fang, Qitong, et al.
Published: (2026)

Learning, Fast and Slow: Towards LLMs That Adapt Continually
by: Tiwari, Rishabh, et al.
Published: (2026)

Aligning LLMs on a Budget: Inference-Time Alignment with Heuristic Reward Models
by: Nakamura, Mason, et al.
Published: (2025)

GraphEval36K: Benchmarking Coding and Reasoning Capabilities of Large Language Models on Graph Datasets
by: Wu, Qiming, et al.
Published: (2024)

Resolving Action Bottleneck: Agentic Reinforcement Learning Informed by Token-Level Energy
by: He, Langzhou, et al.
Published: (2026)

Dynamic Policy Induction for Adaptive Prompt Optimization: Bridging the Efficiency-Accuracy Gap via Lightweight Reinforcement Learning
by: Xu, Jiexi
Published: (2025)

The Reasoning-Creativity Trade-off: Toward Creativity-Driven Problem Solving
by: Luyten, Max Ruiz, et al.
Published: (2026)

MOCHA: Multi-Objective Chebyshev Annealing for Agent Skill Optimization
by: Tanjim, Md Mehrab, et al.
Published: (2026)

Why LoRA Resists Label Noise: A Theoretical Framework for Noise-Robust Parameter-Efficient Fine-Tuning
by: Steele, Brady
Published: (2026)

Evo-DKD: Dual-Knowledge Decoding for Autonomous Ontology Evolution in Large Language Models
by: Raman, Vishal, et al.
Published: (2025)

ConfProBench: A Confidence Evaluation Benchmark for MLLM-Based Process Judges
by: Zhou, Yue, et al.
Published: (2025)

Survey Transfer Learning: Recycling Data with Silicon Responses
by: Amini, Ali
Published: (2025)

The Geometry of Thought: How Scale Restructures Reasoning In Large Language Models
by: Anderson, Samuel Cyrenius
Published: (2026)

Learning Natural Language Constraints for Safe Reinforcement Learning of Language Agents
by: Chua, Jaymari, et al.
Published: (2025)

ReaGeo: Reasoning-Enhanced End-to-End Geocoding with LLMs
by: Cui, Jian, et al.
Published: (2026)

Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
by: Fadli, Samih
Published: (2025)

Cognitive Load Limits in Large Language Models: Benchmarking Multi-Hop Reasoning
by: Adapala, Sai Teja Reddy
Published: (2025)

Annotation Entropy Predicts Per-Example Learning Dynamics in LoRA Fine-Tuning
by: Steele, Brady
Published: (2026)

Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers
by: Abramov, Roman, et al.
Published: (2025)

Deployment-Time Reliability of Learned Robot Policies
by: Agia, Christopher
Published: (2026)

AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
by: Yousaf, Iqra
Published: (2024)

GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
by: Agrawal, Lakshya A, et al.
Published: (2025)

Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM Evaluation
by: Koc, Vincent
Published: (2025)

The Single-File Test: A Longitudinal Public-Interface Evaluation of First-Output LLM Web Generation with Social Reach Tracking
by: Palacios, Diego Cabezas
Published: (2026)

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

Reasoning Large Language Model Errors Arise from Hallucinating Critical Problem Features
by: Heyman, Alex, et al.
Published: (2025)

METER: Multi-modal Evidence-based Thinking and Explainable Reasoning -- Algorithm and Benchmark
by: Yang, Xu, et al.
Published: (2025)

BitCal-TTS: Bit-Calibrated Test-Time Scaling for Quantized Reasoning Models
by: Patarlapalli, Sai Babu, et al.
Published: (2026)

Gyan: An Explainable Neuro-Symbolic Language Model
by: Srinivasan, Venkat, et al.
Published: (2026)

When Gradients Collide: Failure Modes of Multi-Objective Prompt Optimization for LLM Judges
by: Darshan, Parth, et al.
Published: (2026)

When Words Change the Model: Sensitivity of LLMs for Constraint Programming Modelling
by: Pellegrino, Alessio, et al.
Published: (2025)

Differentiable Symbolic Planning: A Neural Architecture for Constraint Reasoning with Learned Feasibility
by: Oruganti, Venkatakrishna Reddy
Published: (2026)

On Semantic Loss Fine-Tuning Approach for Preventing Model Collapse in Causal Reasoning
by: Deshmukh, Pratik, et al.
Published: (2026)

Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models
by: Fu, Tianyu, et al.
Published: (2025)

Primary Care Diagnoses as a Reliable Predictor for Orthopedic Surgical Interventions
by: Verma, Khushboo, et al.
Published: (2025)

Streaming Continual Learning for Unified Adaptive Intelligence in Dynamic Environments
by: Giannini, Federico, et al.
Published: (2026)

Unlearning at Scale: Implementing the Right to be Forgotten in Large Language Models
by: X, Abdullah
Published: (2025)

HySemRAG: A Hybrid Semantic Retrieval-Augmented Generation Framework for Automated Literature Synthesis and Methodological Gap Analysis
by: Godinez, Alejandro
Published: (2025)

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