Cover Image

Revisiting Observation Reduction for Web Agents: Comprehensive Evaluation with a Lightweight Framework

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Enomoto, Masafumi, Obara, Ryoma, Zhang, Haochen, Oyamada, Masafumi
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Read More, Think More: Revisiting Observation Reduction for Web Agents
by: Enomoto, Masafumi, et al.
Published: (2026)

LightPAL: Lightweight Passage Retrieval for Open Domain Multi-Document Summarization
by: Enomoto, Masafumi, et al.
Published: (2024)

Can a Crow Hatch a Falcon? Lineage Matters in Predicting Large Language Model Performance
by: Tamura, Takuya, et al.
Published: (2025)

LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents
by: Yano, Taro, et al.
Published: (2025)

cotomi Act: Learning to Automate Work by Watching You
by: Oyamada, Masafumi, et al.
Published: (2026)

An Empirical Study of LLM-as-a-Judge: How Design Choices Impact Evaluation Reliability
by: Yamauchi, Yusuke, et al.
Published: (2025)

Jellyfish: A Large Language Model for Data Preprocessing
by: Zhang, Haochen, et al.
Published: (2023)

Effective Harness Engineering for Algorithm Discovery with Coding Agents
by: Ishibashi, Yoichi, et al.
Published: (2026)

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning
by: Ishibashi, Yoichi, et al.
Published: (2025)

Can Large Language Models Invent Algorithms to Improve Themselves?: Algorithm Discovery for Recursive Self-Improvement through Reinforcement Learning
by: Ishibashi, Yoichi, et al.
Published: (2024)

$M^3$ Scaling Law: Optimizing Multi-Epoch, Multi-Lingual, and Multi-Stage Training for Low-Resource Language Models
by: Akimoto, Kosuke, et al.
Published: (2024)

Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering
by: Akimoto, Kosuke, et al.
Published: (2024)

Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain
by: Ozaki, Shintaro, et al.
Published: (2024)

Large Language Models as Data Preprocessors
by: Zhang, Haochen, et al.
Published: (2023)

LineRetriever: Planning-Aware Observation Reduction for Web Agents
by: Kerboua, Imene, et al.
Published: (2025)

On Synthesizing Data for Context Attribution in Question Answering
by: Radevski, Gorjan, et al.
Published: (2025)

WebChoreArena: Evaluating Web Browsing Agents on Realistic Tedious Web Tasks
by: Miyai, Atsuyuki, et al.
Published: (2025)

TimeWarp: Evaluating Web Agents by Revisiting the Past
by: Ishmam, Md Farhan, et al.
Published: (2026)

DITING: A Multi-Agent Evaluation Framework for Benchmarking Web Novel Translation
by: Zhang, Enze, et al.
Published: (2025)

Best-of-$\infty$ -- Asymptotic Performance of Test-Time LLM Ensembling
by: Komiyama, Junpei, et al.
Published: (2025)

UltraEval: A Lightweight Platform for Flexible and Comprehensive Evaluation for LLMs
by: He, Chaoqun, et al.
Published: (2024)

Region4Web: Rethinking Observation Space Granularity for Web Agents
by: Kwon, Donguk, et al.
Published: (2026)

Evaluating Structural Generalization in Neural Machine Translation
by: Kumon, Ryoma, et al.
Published: (2024)

WebMall -- A Multi-Shop Benchmark for Evaluating Web Agents
by: Peeters, Ralph, et al.
Published: (2025)

Constructive Approach to Bidirectional Influence between Qualia Structure and Language Emergence
by: Taniguchi, Tadahiro, et al.
Published: (2024)

WebUIBench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in WebUI-to-Code
by: Lin, Zhiyu, et al.
Published: (2025)

Bias Mitigation or Cultural Commonsense? Evaluating LLMs with a Japanese Dataset
by: Yamamoto, Taisei, et al.
Published: (2025)

Evaluating Cultural and Social Awareness of LLM Web Agents
by: Qiu, Haoyi, et al.
Published: (2024)

Comprehensive and Efficient Distillation for Lightweight Sentiment Analysis Models
by: Xie, Guangyu, et al.
Published: (2025)

TRACE: Trajectory-Aware Comprehensive Evaluation for Deep Research Agents
by: Chen, Yanyu, et al.
Published: (2026)

EvalAgent: Discovering Implicit Evaluation Criteria from the Web
by: Wadhwa, Manya, et al.
Published: (2025)

X-WebAgentBench: A Multilingual Interactive Web Benchmark for Evaluating Global Agentic System
by: Wang, Peng, et al.
Published: (2025)

When Users Change Their Mind: Evaluating Interruptible Agents in Long-Horizon Web Navigation
by: Zou, Henry Peng, et al.
Published: (2026)

Direct Quantized Training of Language Models with Stochastic Rounding
by: Zhao, Kaiyan, et al.
Published: (2024)

WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model
by: Fang, Tianqing, et al.
Published: (2025)

Fine-Grained Analysis of Shared Syntactic Mechanisms in Language Models
by: Kumon, Ryoma, et al.
Published: (2026)

Analyzing the Inner Workings of Transformers in Compositional Generalization
by: Kumon, Ryoma, et al.
Published: (2025)

AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories
by: Lù, Xing Han, et al.
Published: (2025)

AI Planning Framework for LLM-Based Web Agents
by: Shahnovsky, Orit, et al.
Published: (2026)

Infogent: An Agent-Based Framework for Web Information Aggregation
by: Reddy, Revanth Gangi, et al.
Published: (2024)