Papers with unified reasoning

2 papers
Bias in the Ear of the Listener: Assessing Sensitivity in Audio Language Models Across Linguistic, Demographic, and Positional Variations (2026.findings-eacl)

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Challenge: Recent advances extend language understanding beyond text to speech, enabling unified reasoning across modalities.
Approach: They construct and release a speech-augmented benchmark based on Global MMLU Lite and a data set spanning English, Chinese, and Korean.
Outcome: The proposed model is robust to demographic factors but sensitive to language and option order, suggesting that speech can amplify structural biases.
TInR: Exploring Tool-Internalized Reasoning in Large Language Models (2026.acl-long)

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Challenge: Existing methods rely on external tool documentation during reasoning, leading to tool mastery difficulty, tool size constraints, and inference inefficiency.
Approach: They propose a tool-internalized reasoning framework for unified reasoning and tool usage that integrates external tools into Large Language Models (LLMs) to address these issues, they propose 'tool-internet-based' reasoning.
Outcome: The proposed method achieves superior performance across in-domain and out-of-domain settings, highlighting its effectiveness and efficiency.

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