Papers with human reliability

2 papers
Learning and Evaluating Emotion Lexicons for 91 Languages (2020.acl-main)

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Challenge: Emotion lexicons describe the affective meaning of words but are limited in coverage for most languages.
Approach: They propose a method for creating arbitrarily large emotion lexicons for any target language.
Outcome: The proposed method exceeds human reliability for some languages and variables.
Why Do LLM-based Web Agents Fail? A Hierarchical Planning Perspective (2026.acl-long)

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Challenge: Existing evaluations focus primarily on end-to-end success, offering limited insight into where failures arise.
Approach: They propose a hierarchical planning framework that analyzes web agents across three layers . they show that structured Planning Domain Definition Language (PDDL) plans produce more concise and goal-directed strategies than natural language (NL) plans .
Outcome: The proposed framework analyzes web agents across three layers to improve reasoning, grounding, and recovery.

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