{"total":13,"rows":[{"id":"2412.14171","title":"Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces","created":"2024-12-18","cited_by_count":611,"area":"lr"},{"id":"2311.07466","title":"On Measuring Faithfulness or Self-consistency of Natural Language Explanations","created":"2023-11-13","cited_by_count":73,"area":"lr"},{"id":"2510.15987","title":"AlgoTrace: Algorithmic Primitives and Compositional Geometry of Reasoning in Language Models","created":"2025-10-13","cited_by_count":7,"area":"lr"},{"id":"2311.08614","title":"XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs","created":"2023-11-15","cited_by_count":5,"area":"lr"},{"id":"2503.11248","title":"Reasoning-Grounded Natural Language Explanations for Language Models","created":"2025-03-14","cited_by_count":5,"area":"lr"},{"id":"2504.01911","title":"Advancing AI-Scientist Understanding: Multi-Agent LLMs with Interpretable Physics Reasoning","created":"2025-04-02","cited_by_count":5,"area":"lr"},{"id":"2512.00163","title":"Measuring What LLMs Think They Do: SHAP Faithfulness and Deployability on Financial Tabular Classification","created":"2025-11-28","cited_by_count":3,"area":"lr"},{"id":"2406.03843","title":"POEM: Interactive Prompt Optimization for Enhancing Multimodal Reasoning of Large Language Models","created":"2024-06-06","cited_by_count":1,"area":"lr"},{"id":"2410.21353","title":"Causal Interventions on Causal Paths: Mapping GPT-2's Reasoning From Syntax to Semantics","created":"2024-10-28","cited_by_count":1,"area":"lr"},{"id":"2509.22363","title":"Investigating Faithfulness in Large Audio Language Models","created":"2025-09-26","cited_by_count":1,"area":"lr"},{"id":"2602.14002","title":"The Sufficiency-Conciseness Trade-off in LLM Self-Explanation from an Information Bottleneck Perspective","created":"2026-02-15","cited_by_count":0,"area":"lr"},{"id":"2604.14641","title":"Learning to Draw ASCII Improves Spatial Reasoning in Language Models","created":"2026-04-16","cited_by_count":0,"area":"lr"},{"id":"2606.28615","title":"What LLMs explain is not what they believe: Evaluating explanation sufficiency under models' own input beliefs","created":"2026-06-26","cited_by_count":0,"area":"lr"}],"next_cursor":null}