Large Language

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Period ending 2026-09-14

22 new papers

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Period ending 2026-09-07

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  1. When Should LLMs Abstain? Chain-of-Self-Questioning for Selective Risk Control

    Sep 15, 2026Ali ŞenolLarge Language Model Reliability

  2. ToMAS: A Pilot Failure-Grounded Theory-of-Mind Benchmark from Multi-Agent LLM Failures

    Sep 15, 2026Muhammad Ashar Ishfaq, Glaucia MeloStep-Level Failure AttributionMulti-Agent Large Language Model Systems

  3. Multi-modal Knowledge Preserving Adapter for Embedding Backward Compatibility

    Sep 15, 2026Jaeseok Byun, Gukyeong Kwon, Han-Kai Hsu +4Multimodal EmbeddingsLarge Language Model Backbones

  4. CLEAR: Cross-Source Evidence Adjudication for Large Language Models in Medicine

    Sep 14, 2026Shuai Wang, Yize Zhao, Qingyu ChenLarge Language Model Reliability

  5. Learning to Coach for Experiential Learning

    Sep 14, 2026Guanheng Chen, Tianzhu Ye, Li Dong +3Curriculum Reinforcement LearningIterative Co-Training

  6. Circuit-MLLM: Topological Logic-Guided Latent-Space Visual Reasoning for Circuit Schematic Understanding

    Sep 14, 2026Jinyuan Deng, Yuqi Jiang, Wenjing Huang +3CircuitsLarge Language Models(Llms

  7. When the Wrong Key Wins: Understanding and Detecting Hallucinations in LLMs

    Sep 14, 2026Xuhan Tong, Jiawei ZhangLarge Language Model HallucinationLarge Language Models Fail

  8. Mirror, Mirror on the Wall: Prompt Echoing in Small Instruct Language Models

    Sep 14, 2026Inez Okulska, Bartosz Naskręcki, Jan Piotrowski +1Instruction-Tuned Large Language Models

  9. SALUTE: Benchmarking and Adapting LLMs for the Defense Domain

    Sep 14, 2026Hyeongcheol Park, Sumin In, Suyeon Myeong +5Large Language Model AdaptationLarge Language Models(Llms

  10. R2VC: Modular Fact-Checking with Retrieval, Verification, and Confidence Calibration

    Sep 14, 2026Dhruv Dixit, Paritosh PandeyVerificationLarge Language Model Reliability

  11. Creating an Atomic User Model for Personality-Aware Large Language Model Interaction

    Sep 14, 2026B. Sankar, Deepthika S, Pawni Yadav +1Large Language Model Responses

  12. CAL-MOS: Bridging Layers with Adapters for Robust MOS Prediction Across Speech Foundation Models

    Sep 14, 2026Alef Iury Siqueira Ferreira, Pedro Lustosa Rege Botelho, Fernanda Silva +5Large Language Model Backbones

  13. From Parameters to Answers: How LLMs Retrieve and Use Their Internal Knowledge

    Sep 12, 2026Wenkang Wei, Yuan Fang, Renhe Jiang +2Large Language Model ResponsesQwen3

  14. Off-Target Effects of Response-Style Alignment in a Korean 27B Language Model

    Sep 12, 2026Hyojung HanLarge Language Model ResponsesKorean

  15. Beyond Verified Answers: Solver-Informed Self-Distillation for Bootstrapping Operations Research Language Models

    Sep 12, 2026Rui Zhu, Minglong Cao, Chenyu Zhou +2Future Llm-Assisted Solver DevelopmentUnsupervised On-Policy Self-Distillation

  16. Multilingual in Name Only? Cultural and Linguistic Weaknesses of LLMs in Urdu

    Sep 12, 2026Farah Adeeba, Abdul Rafae Khan, Rajesh Bhatt +1UrduLow-Resource Languages

  17. Building py-kvcache: A Performance Characterization of External KV Caching for vLLM with NVMe SSDs

    Sep 11, 2026Joseph Kanichai, Tiziano De Matteis, Animesh TrivediKv-Cache SteeringKey-Value Cache

  18. But How Would AI Agents Run a Town's Economy?

    Sep 11, 2026Sajal Regmi, Siddhartha Pudasaini, Chetan Phakami PunEconomiesMulti-Agent Simulations

  19. In RAG We Trust? Measuring Robustness of Retrieval-Augmented Generation Under Document Poisoning

    Sep 10, 2026Iliano FasolinoRetrieval-Augmented GenerationLarge Language Model Reliability

  20. Talking to Itself While Coding: What Makes Comments Help Code Generation?

    Sep 10, 2026Dangfeng Pan, Zhensu Sun, Cenyuan Zhang +2AI Code GenerationLarge Language Model Generation

  21. LiteRAG: Cost-Efficient Graph-Based Retrieval-Augmented Generation

    Sep 9, 2026Daniel Alejandro Coll Tejeda, Pedro García López, Daniel Barcelona-PonsGraph-Based Retrieval Augmented GenerationGraph-Based Retrieval

  22. Evaluating and Improving Evidence-Grounded Fact-Checking in LLMs via Multi-Round Evidence Ablation

    Sep 8, 2026Xingyu Deng, Mingzi Cao, Nikolaos Aletras +2Fact-CheckingLarge Language Model Reliability

  23. SeGDeP: Semantic- and Geometric-Aware Decoupled Prompts for Reasoning Segmentation

    Sep 8, 2026Linnan Zhao, Xu Liu, Lingling Li +3Semantic-Geometric RepresentationsReasoning Segmentation

  24. The Unreliable Progress Bar: Can LLM Agents Reliably Report Task Progress Throughout Execution?

    Sep 8, 2026Boyang Wang, Yunhan Wang, Yalun WuLarge Language Model AgentsLarge Language

  25. ACEA: An Adversarial Co-Evolution Arena for Head-to-Head Red-Team and Blue-Team LLM Testing

    Sep 8, 2026Yi Ting Shen, Kentaroh Toyoda, Alex LeungLarge Language Model Calls

  26. Stabilizing Instruction Supervision for Instruct-TTS via Controllable Diversification and Drift Filtering

    Sep 8, 2026Yizhong Geng, Kecan Mao, Qifei Li +6Instruction TuningInstruction

  27. Beliefs and Behavior in Language Models

    Sep 7, 2026Alex Smolin, Bryan WilderLarge Language Model ReliabilityBelief

  28. CodeTD: Topology of Attention Detects Hallucinations in Code LLMs

    Sep 7, 2026Daria Voronkova, Ilya Trofimov, Anton Dmitriev +3AI Code GenerationCorrectness

  29. Translation Indeterminacy and the Distributional Fallacy

    Sep 7, 2026Michael CarlCross-Lingual ConsistencyLarge Language Models Fail

  30. We're Cooked! - Probing LLM Political Alignment Via Conflict-Framed Recipe Translation

    Sep 7, 2026Svetlana Gorovaia, Angelica Henestrosa, Ivan P. YamshchikovLarge Language Model AlignmentLarge Language Models Fail

  31. In-Place Instruction Following in Diffusion Language Models

    Sep 7, 2026Zheng Nie, Zherui Li, Jiaming Zhang +3Diffusion Language ModelsInstruction-Tuned Large Language Models

  32. A Removal Based Approach to Improve LLM Faithfulness at Test-Time

    Sep 7, 2026Qinglan Luo, S M A Nahian, John Guttag +2Large Language Model ReliabilityTest Time

  33. DCFA: Dual-view Causal-inspired Attribution for Failure Reasoning in LLM-based Multi-agent Systems

    Sep 7, 2026Zehao Wang, Lanjun Wang, Shilong Jin +2Step-Level Failure AttributionLarge Language Models Fail

  34. Why Better Models Can Create Riskier Systems: Evidence from LLM Agents in Financial Markets

    Sep 7, 2026Jillian Ross, Eric So, Zoe De Simone +2Multi-Agent Large Language Model SystemsLarge Language Model Agents

  35. Necessary or Sufficient? Evaluating LLM Explanations With Behavioural Evidence

    Sep 4, 2026Urja Pawar, Rajitha Ramanayake, Nabeel Kemal +6ExplanationsLarge Language Model Reliability

  36. ESPO: Error-Structured Prompt Optimization via Diagnose, Diversify, and Stabilize

    Sep 3, 2026Lihao Liu, Peng Tang, Kunwar Yashraj Singh +1Automatic Prompt OptimizationInstruction-Tuned Large Language Models

  37. Rethinking On-Policy Distillation of Large Language Models II: One Training Example

    Sep 3, 2026Zixuan Fu, Bingxiang He, Yuxin Zuo +10On-Policy DistillationTraining Data

  38. Epistemic Warrant for LLM Recommendations: Characterizing the Basis for Reliance When Ground Truth Is Unavailable

    Sep 3, 2026Shai Vardi, João SedocLarge Language Model ReliabilityEpistemic States

  39. Instruction Duplication as an Inference-Time Control Primitive

    Sep 3, 2026Victor LavrenkoInstructionRepetition

  40. LLM4CKD: Large Language Models for Early Stage Chronic Kidney Disease Screening

    Sep 3, 2026Muhammad Ashad Kabir, Sirajam MuniraChronic Kidney DiseaseScreening

  41. Interface-Induced Trajectory Censoring

    Sep 3, 2026Wenbo WangCallLarge Language Model Calls

  42. CROCODIL: Cross-Model Code Editing with LLMs

    Sep 3, 2026Linghan Zhong, Aditya Thimmaiah, Jayanth Srinivasa +2Large Language

  43. Lost in Reordering: Structural Sensitivity of Multilingual LLMs under Semantics-Preserving Perturbations

    Sep 3, 2026Karthika Nhayakkat, Rajat Verma, Maharaj Brahma +4Large Language Models Fail

  44. GrowPage: On-Demand KV Budgeting for Efficient LLM Reasoning Serving

    Sep 3, 2026Qiankun Ma, Yanjiang Zhou, Zinan Xiong +5LLM Reasoning MethodsBudgets

  45. To What Extent Do Large Language Models Understand Bangla Idioms?

    Sep 3, 2026Mousumi Akter, Md. Faiyaz Abdullah Sayeedi, Nurul Labib Sayeedi +1Multilingual IdiomsLarge Language Model Benchmarks

  46. Caught in the Story: Narrative Captivity in Multi-turn LLMs Conversation

    Sep 3, 2026Yuhe Wu, Guangyu Wang, Yujie Chen +7Moral ReasoningLarge Language Models Fail

  47. Accountable AI with Grounded, Faithful, Consistent, Actionable Rationales: A Case Study in Clinical Trial Matching with VERDICT

    Sep 3, 2026Zikai Zhou, Yufei Jin, Yilin Xu +3RationalesLarge Language Model Reliability

  48. From Zero to Hero: An Open LLM Ecosystem for Armenian

    Sep 3, 2026Erik Arakelyan, Khatun Avetisyan, Meri Davtyan +5Arabic Natural Language ProcessingLarge Language Model Calls

  49. Unifying Conformal Language Tasks with In-Context Ensembles

    Sep 2, 2026Xiao Shi Huang, Chen-Yuan Lin, Bruce Kuwahara +2Natural Language ProcessingIn-Context Learning

  50. Harness Engineering in LLM Tool Use via Agent-Native Reusable Tool Primitives

    Sep 1, 2026Haibo Jin, Suijin Wang, Xucheng Yu +2Large Language Model Calls

  51. Scaling Near-Optimal SFT-RL Annotation Budget Allocation from Small to Large LLMs

    Sep 1, 2026Jingtan Wang, Arun Verma, Xiaoqiang Lin +4Supervised Fine-TuningBudgets

  52. Citing Less Critically: LLMs Reshape the Rhetoric and Reach of Scientific Citation

    Sep 1, 2026Yixuan Liu, Lin Chen, Zhuoqi Liu +2CitationsLarge Language Model Bias

  53. IntroConformal: Conformal Factuality Guarantees for Large Vision-Language Models via Introspective Signals

    Sep 1, 2026Md. Atabuzzaman, Christian Alexander, Chris ThomasRecent Vision-Language ModelsLarge Language Model Reliability

  54. EDGE: Error Dependency Graph-Guided Multi-Error Attribution in Multi-Agent LLM Systems

    Sep 1, 2026Jun Hou, Priya Pitre, Yi Fang +1Step-Level Failure AttributionMulti-Agent Large Language Model Systems

  55. Cheap Verifiers, Large Blind Spots: Measuring the Reliability Cost of Cost-Saving Cascades

    Sep 1, 2026Dushyant RajputLarge Language Model ReliabilityVerification

  56. Reliability Challenges in Diffusion Vision-Language Models

    Sep 1, 2026Md. Atabuzzaman, Chris ThomasDiffusion Language ModelsLarge Language Model Reliability

  57. Ready to Speak: Aligning LLMs for TTS-Friendly Text Generation

    Sep 1, 2026Thibaut Thonet, Jos Rozen, Laurent BesacierText-To-SpeechText Generation

  58. Prompt-Robust Language Models: Which Training Strategies Work?

    Sep 1, 2026Frederic Sadrieh, Michal ŠtefánikInstruction-Tuned Large Language ModelsIn-Context Learning

  59. H2Table: Hierarchical Hypergraph-Enhanced Large Language Models for Complex Table Reasoning

    Sep 1, 2026Jia Ling, Yangfan Wang, Chen Tang +4TableMulti-Hop Reasoning

  60. Post-hoc Alignment of LLM-judges to Human Judgment Distribution

    Sep 1, 2026Sebastian Steindl, Nikos Voskarides, Alberto Gasparin +1Soft-LabelLlm-As-A-Judge