Supervising the search process produces reliable and generalizable information-seeking agents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xiong, Guangzhi, Jin, Qiao, Wang, Xiao, Fang, Yin, Liu, Haolin, Yang, Yifan, Chen, Fangyuan, Song, Zhixing, Wang, Dengyu, Zhang, Minjia, Lu, Zhiyong, Zhang, Aidong
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions
by: Xiong, Guangzhi, et al.
Published: (2024)

Benchmarking Retrieval-Augmented Generation for Medicine
by: Xiong, Guangzhi, et al.
Published: (2024)

MedCite: Can Language Models Generate Verifiable Text for Medicine?
by: Wang, Xiao, et al.
Published: (2025)

Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models
by: Xiong, Guangzhi, et al.
Published: (2026)

Cell-o1: Training LLMs to Solve Single-Cell Reasoning Puzzles with Reinforcement Learning
by: Fang, Yin, et al.
Published: (2025)

Structural Causality-based Generalizable Concept Discovery Models
by: Sinha, Sanchit, et al.
Published: (2024)

ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers
by: Sinha, Sanchit, et al.
Published: (2025)

COCO-Tree: Compositional Hierarchical Concept Trees for Enhanced Reasoning in Vision Language Models
by: Sinha, Sanchit, et al.
Published: (2025)

CoLiDR: Concept Learning using Aggregated Disentangled Representations
by: Sinha, Sanchit, et al.
Published: (2024)

Neural Additive Experts: Context-Gated Experts for Controllable Model Additivity
by: Xiong, Guangzhi, et al.
Published: (2026)

A Self-explaining Neural Architecture for Generalizable Concept Learning
by: Sinha, Sanchit, et al.
Published: (2024)

ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning
by: Xiong, Guangzhi, et al.
Published: (2024)

GCAV: A Global Concept Activation Vector Framework for Cross-Layer Consistency in Interpretability
by: He, Zhenghao, et al.
Published: (2025)

Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models
by: Sinha, Sanchit, et al.
Published: (2025)

Retrieving Counterfactuals Improves Visual In-Context Learning
by: Xiong, Guangzhi, et al.
Published: (2026)

CASL: Concept-Aligned Sparse Latents for Interpreting Diffusion Models
by: He, Zhenghao, et al.
Published: (2026)

Large Language Models Lack Temporal Awareness of Medical Knowledge
by: Guan, Zihan, et al.
Published: (2026)

Med-V1: Small Language Models for Zero-shot and Scalable Biomedical Evidence Attribution
by: Jin, Qiao, et al.
Published: (2026)

Reasoning Beyond Chain-of-Thought: A Latent Computational Mode in Large Language Models
by: He, Zhenghao, et al.
Published: (2026)

Attention-guided Fine-tuning of Multimodal Large Language Models Improves Chain-of-Thought Reasoning
by: Sinha, Sanchit, et al.
Published: (2026)

Toward Faithful Retrieval-Augmented Generation with Sparse Autoencoders
by: Xiong, Guangzhi, et al.
Published: (2025)

Humans and Large Language Models in Clinical Decision Support: A Study with Medical Calculators
by: Wan, Nicholas, et al.
Published: (2024)

Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models
by: Xiong, Guangzhi, et al.
Published: (2024)

Towards a conversational information seeking process model: Characterizing mixed‐initiative user–agent interaction
by: Shiting Fu, et al.
Published: (2025)

Gene-R1: Reasoning with Data-Augmented Lightweight LLMs for Gene Set Analysis
by: Wang, Zhizheng, et al.
Published: (2025)

IdeaBench: Benchmarking Large Language Models for Research Idea Generation
by: Guo, Sikun, et al.
Published: (2024)

AMaze: An intuitive benchmark generator for fast prototyping of generalizable agents
by: Godin-Dubois, Kevin, et al.
Published: (2024)

Toddlers do not preferentially transmit generalizable information to others
by: Didar Karadağ, et al.
Published: (2024)

Borrowing from anything: A generalizable framework for reference-guided instance editing
by: Zhou, Shengxiao, et al.
Published: (2025)

Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks
by: Wang, Zheng, et al.
Published: (2024)

GRF-based Predictive Flocking Control with Dynamic Pattern Formation
by: Yu, Chenghao, et al.
Published: (2024)

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models
by: Xiong, Guangzhi, et al.
Published: (2025)

GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information
by: Jin, Qiao, et al.
Published: (2023)

Adversarial Attacks on Large Language Models in Medicine
by: Yang, Yifan, et al.
Published: (2024)

NAS-PINNv2: Improved neural architecture search framework for physics-informed neural networks in low-temperature plasma simulation
by: Wang, Yifan, et al.
Published: (2025)

Energy harvester reliability study by Gaidai reliability method
by: Oleg Gaidai, et al.
Published: (2024)

PuzzleMoE: Efficient Compression of Large Mixture-of-Experts Models via Sparse Expert Merging and Bit-packed inference
by: Zhao, Yushu, et al.
Published: (2025)

MedClarify: An information-seeking AI agent for medical diagnosis with case-specific follow-up questions
by: Wong, Hui Min, et al.
Published: (2026)

Communicating socially acceptable risk judgments: The role of impression information insufficiency in the risk information seeking and processing model
by: Timothy K. F. Fung, et al.
Published: (2024)

Entry-level guide to the use of large language models for medical research
by: Jin, Qiao, et al.
Published: (2024)