Papers with ETR

3 papers
Facilitating Cognitive Accessibility with LLMs: A Multi-Task Approach to Easy-to-Read Text Generation (2025.emnlp-main)

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Challenge: Existing approaches to make complex texts more accessible for people with cognitive impairments are time-consuming and resource-intensive.
Approach: They propose a multi-task learning approach that trains models jointly on text summarization, text simplification, and ETR generation.
Outcome: The proposed approach outperforms other approaches in in-domain settings while achieving better generalization in out-of-domain scenarios.
ETR: Entropy Trend Reward for Efficient Chain-of-Thought Reasoning (2026.acl-long)

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Challenge: Existing methods to shorten CoTs use length penalties or global entropy reduction . Existing approaches to CoT reasoning have significant practical drawbacks .
Approach: They propose a method that shortens CoTs by length penalties or global entropy reduction . they integrate ETR into Group Relative Policy Optimization and evaluate it .
Outcome: The proposed objective improves accuracy–efficiency trade-off by +9.9% while reducing CoT length by 67% across four benchmarks.
ETRQA: A Comprehensive Benchmark for Evaluating Event Temporal Reasoning Abilities of Large Language Models (2025.findings-acl)

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Challenge: Event temporal reasoning (ETR) is a significant indicator that a large language model understands the physical world.
Approach: They propose a unified taxonomy for event temporal questions and construct a benchmark based on this taxonomies.
Outcome: The proposed taxonomy inherits and expands existing datasets and contains multiple categories of compound questions.

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