{"total":14,"rows":[{"id":"2505.16483","title":"Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning","created":"2025-05-22","cited_by_count":11,"area":null},{"id":"2505.15784","title":"Large Language Models as Computable Approximations to Solomonoff Induction","created":"2025-05-21","cited_by_count":6,"area":null},{"id":"2603.19532","title":"EvidenceRL: Reinforcing Evidence Consistency for Trustworthy Language Models","created":"2026-03-20","cited_by_count":5,"area":null},{"id":"2505.00065","title":"ConSens: Assessing context grounding in open-book question answering","created":"2025-04-30","cited_by_count":4,"area":null},{"id":"2602.20696","title":"PromptCD: Test-Time Behavior Enhancement via Polarity-Prompt Contrastive Decoding","created":"2026-02-24","cited_by_count":3,"area":null},{"id":"2504.19472","title":"Conflicts in Texts: Data, Implications and Challenges","created":"2025-04-28","cited_by_count":2,"area":null},{"id":"2607.01250","title":"Structuring the Space of Sociotechnical Alignment","created":"2026-06-02","cited_by_count":2,"area":null},{"id":"2504.03302","title":"Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models","created":"2025-04-04","cited_by_count":1,"area":null},{"id":"2504.15630","title":"Exploiting Contextual Knowledge in LLMs through V-usable Information based Layer Enhancement","created":"2025-04-22","cited_by_count":1,"area":null},{"id":"2604.10189","title":"FAITH: Factuality Alignment through Integrating Trustworthiness and Honestness","created":"2026-04-11","cited_by_count":1,"area":null},{"id":"2606.20245","title":"Navigating Unreliable Parametric and Contextual Knowledge: Explicit Knowledge Conflict Resolution for LLM Inference","created":"2026-06-18","cited_by_count":1,"area":null},{"id":"2608.14992","title":"Does a Tool Result Carry More Authority Than Plain Text? Three Prospective Studies of False-Claim Adoption in a Synthetic Assignment Task with Claude Opus 5","created":"2026-08-15","cited_by_count":1,"area":null},{"id":"2606.15893","title":"BALTO: Balanced Token-Level Policy Optimization for Hallucination Mitigation","created":"2026-06-14","cited_by_count":0,"area":null},{"id":"2609.00519","title":"The Safeguard Worked. Is the LLM System Safer?","created":"2026-09-01","cited_by_count":0,"area":null}],"next_cursor":null}