Cover Image

HEART: Emotionally-Driven Test-Time Scaling of Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pinto, Gabriela, Goyal, Palash, Parmar, Mihir, Song, Yiwen, Chakraborty, Souradip, Wang, Zifeng, Yoon, Jinsung, Pfister, Tomas, Palangi, Hamid
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ScholarPeer: A Context-Aware Multi-Agent Framework for Automated Peer Review
by: Goyal, Palash, et al.
Published: (2026)

LLM-Based Multi-Agent Blackboard System for Information Discovery in Data Science
by: Salemi, Alireza, et al.
Published: (2025)

PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving
by: Parmar, Mihir, et al.
Published: (2025)

Synapse: Adaptive Arbitration of Complementary Expertise in Time Series Foundational Models
by: Das, Sarkar Snigdha Sarathi, et al.
Published: (2025)

On the Role of Feedback in Test-Time Scaling of Agentic AI Workflows
by: Chakraborty, Souradip, et al.
Published: (2025)

CANVAS: Continuity-Aware Narratives via Visual Agentic Storyboarding
by: Mondal, Ishani, et al.
Published: (2026)

TFRBench: A Reasoning Benchmark for Evaluating Forecasting Systems
by: Ahamed, Md Atik, et al.
Published: (2026)

Nexus : An Agentic Framework for Time Series Forecasting
by: Das, Sarkar Snigdha Sarathi, et al.
Published: (2026)

Reasoning-Aware Training for Time Series Forecasting
by: Ahamed, Md Atik, et al.
Published: (2026)

ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence
by: Meng, Rui, et al.
Published: (2026)

PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving
by: Parmar, Mihir, et al.
Published: (2025)

Watch and Learn: Learning to Use Computers from Online Videos
by: Song, Chan Hee, et al.
Published: (2025)

Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems
by: Feng, Shangbin, et al.
Published: (2025)

LEAF: A Living Benchmark for Event-Augmented Forecasting
by: Tan, Mingtian, et al.
Published: (2026)

TUMIX: Multi-Agent Test-Time Scaling with Tool-Use Mixture
by: Chen, Yongchao, et al.
Published: (2025)

PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing
by: Song, Yiwen, et al.
Published: (2026)

Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions
by: Yoon, Jinsung, et al.
Published: (2024)

Exploring Group and Symmetry Principles in Large Language Models
by: Imani, Shima, et al.
Published: (2024)

PolicyBank: Evolving Policy Understanding for LLM Agents
by: Choi, Jihye, et al.
Published: (2026)

ATLAS: Constraints-Aware Multi-Agent Collaboration for Real-World Travel Planning
by: Choi, Jihye, et al.
Published: (2025)

VeriGuard: Enhancing LLM Agent Safety via Verified Code Generation
by: Miculicich, Lesly, et al.
Published: (2025)

PaperBanana: Automating Academic Illustration for AI Scientists
by: Zhu, Dawei, et al.
Published: (2026)

DocLens : A Tool-Augmented Multi-Agent Framework for Long Visual Document Understanding
by: Zhu, Dawei, et al.
Published: (2025)

SETS: Leveraging Self-Verification and Self-Correction for Improved Test-Time Scaling
by: Chen, Jiefeng, et al.
Published: (2025)

Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence
by: Feng, Shangbin, et al.
Published: (2024)

Judging with Confidence: Calibrating Autoraters to Preference Distributions
by: Li, Zhuohang, et al.
Published: (2025)

In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents
by: Tan, Zhen, et al.
Published: (2025)

Converted, Not Equivalent: Benchmarking Codebase Conversion via Observational Equivalence
by: Song, Linxin, et al.
Published: (2026)

The Art of Scaling Test-Time Compute for Large Language Models
by: Agarwal, Aradhye, et al.
Published: (2025)

Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation
by: Yin, Fan, et al.
Published: (2025)

Innocence in the Crossfire: Roles of Skip Connections in Jailbreaking Visual Language Models
by: Nandi, Palash, et al.
Published: (2025)

Does Thinking More always Help? Mirage of Test-Time Scaling in Reasoning Models
by: Ghosal, Soumya Suvra, et al.
Published: (2025)

GuidedSampling: Steering LLMs Towards Diverse Candidate Solutions at Inference-Time
by: Handa, Divij, et al.
Published: (2025)

Reverse Thinking Makes LLMs Stronger Reasoners
by: Chen, Justin Chih-Yao, et al.
Published: (2024)

Exposing Long-Tail Safety Failures in Large Language Models through Efficient Diverse Response Sampling
by: Hajra, Suvadeep, et al.
Published: (2026)

Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning
by: Han, Sungwon, et al.
Published: (2024)

First Finish Search: Efficient Test-Time Scaling in Large Language Models
by: Agarwal, Aradhye, et al.
Published: (2025)

Faithful Model Evaluation for Model-Based Metrics
by: Goyal, Palash, et al.
Published: (2023)

Maestro-EVC: Controllable Emotional Voice Conversion Guided by References and Explicit Prosody
by: Yoon, Jinsung, et al.
Published: (2025)

Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval
by: Chen, Yanfei, et al.
Published: (2024)