Instruction-Tuned Large Language Models

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Period ending 2026-09-14

2 new papers

A weekly snapshot of new work published in Instruction-Tuned Large Language Models.

Period ending 2026-09-07

6 new papers

A weekly snapshot of new work published in Instruction-Tuned Large Language Models.

131 papers

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  1. Learning to Coach for Experiential Learning

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

  2. 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

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

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

  4. In-Place Instruction Following in Diffusion Language Models

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

  5. 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

  6. Instruction Duplication as an Inference-Time Control Primitive

    Sep 3, 2026Victor LavrenkoInstructionRepetition

  7. Unifying Conformal Language Tasks with In-Context Ensembles

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

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

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

  9. CARE: Contrastive Anchor-based Rubric Evolution for Large Language Model Post-Training

    Sep 1, 2026Siyuan Li, Xinxin Song, Chen Ruinian +5Rubric-Based Reinforcement LearningRubrics

  10. ALTSTEER: Selective Safety Steering for Moving Beyond Hard Refusals to Constructive Alternatives

    Aug 31, 2026Hoejoon Kwon, Byeonggeuk Lim, Kahyeon Kim +1Activation SteeringSteering

  11. Are You Sure You're Sure? On the Impact of Instruction Tuning on Confidence and Lexical Diversity

    Aug 13, 2026Irina Proskurina, Mayank Kumar, Oyindolapo O. KomolafeInstruction TuningInstruction-Tuned Large Language Models

  12. HiRoute: Hierarchical Routed Prompt Tuning for Safety Alignment of Large Language Models

    Aug 13, 2026Fangzhou Chen, Shiji Zhao, Mengyang Wang +4Safety AlignmentSoft Prompt Tuning

  13. EnterpriseRAG: Benchmarking LLM Instruction Adherence and Robustness under Non-Ideal Enterprise Retrieval

    Aug 12, 2026Huiqi Miao, Xinbao Sun, Bo Wang +6Hievi-RagRetrieval-Augmented Generation

  14. Optimize Cheap, Deploy Strong: Cost-Aware Cross-Tier Transfer for Evolutionary Optimization

    Aug 11, 2026Tal Oved, Roi Pony, Oshri Naparstek +1Evolutionary SearchCost-Aware

  15. Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent

    Aug 11, 2026Fanqi Zhou, Qiaosheng Chen, Zixian Huang +1Efficient Data SelectionData Science Agents

  16. RLMOpt: Adaptive Prompt Optimization via Recursive Language Models

    Aug 11, 2026Subhash Bangalore Satheesha, Nirvik Pande, Deepthi Duddempudi +1Automatic Prompt OptimizationInstruction-Tuned Large Language Models

  17. UNSPECIFIC: General Constraint Synthesis for Breaking Copy-and-Paste Shortcut in LLM Instruction Following

    Aug 10, 2026Jeet Sharma, Balpreet Kaur, Jeremiah Hong +2Instruction-Tuned Large Language ModelsInstruction

  18. RISE-RL: Rubric-Informed Selective Exploration for Open-Ended Reinforcement Learning

    Aug 10, 2026Jinkun Hou, Zhuo Liu, Huimin Ren +3Rubric-Based Reinforcement LearningSafe Reinforcement Learning

  19. Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve

    Aug 4, 2026Denys Pushkin, Albert Q. Jiang, Aryo Lotfi +2Chain-Of-ThoughtInstruction-Tuned Large Language Models

  20. Instruction-Conditioned Exploration for Reinforcement Learning with Self-Distillation to an Unconditioned Policy

    Aug 3, 2026Jim Dilkes, Vahid Yazdanpanah, Sebastian SteinInstruction-Tuned Large Language ModelsGoal-Conditioned Reinforcement Learning

  21. PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction

    Jul 31, 2026Pirzada Suhail, Nagasai Saketh Naidu, Atanu R Sinha +1Instruction-Tuned Large Language ModelsNext-Token Prediction

  22. Instruction Stacking Collapse: A Benchmark and the Capability-Dependent Value of Prompt Compilation

    Jul 31, 2026Atul Anand, Sourav ChattarajInstruction-Tuned Large Language ModelsInstruction

  23. IFHierBench: Hierarchical Instruction Following for Large Language Models

    Jul 30, 2026Yuetian Mao, Chunyang ChenInstruction-Tuned Large Language ModelsInstruction

  24. Steering Instruction Hierarchies at Inference Time

    Jul 28, 2026Siqi Zeng, Sewoong Lee, Han Zhao +1Instruction-Tuned Large Language ModelsSteering

  25. Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do

    Jul 28, 2026Zandi EberstadtInstruction-Tuned Large Language ModelsSyntactic Structure

  26. Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe

    Jul 28, 2026Chaemin Jang, Dongman Lee, Jihee KimInstruction-Tuned Large Language ModelsPersonas

  27. DynaCalKV: Key-Value Cache Compression via Head Grouping and Adaptive Rank Allocation

    Jul 27, 2026Tan T. Nguyen, Quan V. DangKey-Value Cache CompressionLarge Language Model Compression

  28. SyRuP: Enhancing System-Prompt Following via Reward-Guided Prediction in LLM Decoding

    Jul 27, 2026Seoyeon Kim, Minjae Kang, Jaehyung KimInstruction-Tuned Large Language ModelsLarge Language Model Decoding

  29. IKS-Instruct: A 24,000-Example Multilingual Dataset for Teaching Language Models Indian Knowledge Systems

    Jul 25, 2026Shwetha Singaravelu, Gayathri Muruganantham, Lakshmi Rajendran +1Multilingual BenchmarkInstruction

  30. Beyond Direct Answering: Aligning Educational LLMs as Socratic Guides via Heuristic Reinforcement Learning

    Jul 25, 2026Xiaokun Wang, Siyu Song, Wentao Liu +1Pedagogical FrameworksInstruction-Tuned Large Language Models

  31. A Unified Moral-Value Dataset for Instruction Tuning

    Jul 23, 2026Zhaohui Zeng, Florian MaiInstruction TuningMoral Reasoning

  32. Task Competence Is Not Instruction Following: Evaluating Instruction-Conflicting Behavior in Small Language Models

    Jul 21, 2026Mahdiyeh Farajidizaji, Vatsal RainaInstruction-Tuned Large Language ModelsInstruction

  33. Prompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models

    Jul 21, 2026Netanel EliavInstruction-Tuned Large Language ModelsRetrieval Recall

  34. Semantic Primes as Explanans for Emotion in Large Language Models

    Jul 21, 2026Frank XingEmotionInstruction-Tuned Large Language Models

  35. Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning

    Jul 19, 2026Xiaonan Luo, Yue Huang, Kehan Guo +4Instruction TuningSynthetic Training Data

  36. Interactive Task Alignment as a POMDP

    Jul 17, 2026Andy Dai, Zexue He, Zhenyu Zhang +2Instruction-Tuned Large Language ModelsPartially Observable Markov Decision Process

  37. TAPR: Enhancing LLM Performance with a Task-Aware Prompt Rewriter

    Jul 17, 2026Oliver Savolainen, Emanuele Bastianelli, Hosein AzarbonyadInstruction-Tuned Large Language ModelsRewrite

  38. BayesPO: Bayesian Prompt Optimization via Parallel-Tempered Gradient-Guided Discrete MCMC

    Jul 17, 2026Junjie Zhou, Zhijian OuPrior Prompt Optimization TechniquesInstruction-Tuned Large Language Models

  39. Leveraging Instruction Tuning and Merging for Reasoning Model Adaptation

    Jul 16, 2026Yu-Du Feng, Niels Mündler-Sasahara, Mark Vero +1LLM Reasoning MethodsInstruction Tuning

  40. Knowledge Distillation for Automated AI Tutor Evaluation

    Jul 12, 2026Tahmid Al Hannan, Diego Garcia, Alex Njoroge +2Pedagogical FrameworksInstruction-Tuned Large Language Models

  41. Prompt Compression via Activation Aggregation

    Jul 9, 2026Thibaud Ardoin, Semira Einsele, Evis Bregu +1Large Language Model CompressionModel Activations

  42. LongCrafter: Towards Diverse Long-Context Understanding via Evidence-Graph-Guided Instruction Synthesis

    Jul 7, 2026Chenhao Yuan, Yinhao Xu, Shuwen Xu +8Efficient Long-Context InferenceContext Length

  43. Obey, Diverge, Collapse: Blind Obedience to Incorrect Instructions Drives Code LLMs to Irrecoverable Code Semantic Collapse

    Jul 5, 2026Raj Jaiswal, Anany Singh Divy, Savar Bhasin +3Large Language Models FailInstruction-Tuned Large Language Models

  44. LLM-as-a-Tutor: Policy-Aware Prompt Adaptation for Non-Verifiable RL

    Jul 5, 2026Yujin Kim, Namgyu Ho, Sangmin Hwang +7Verifiable RewardsAdaptive Curriculum

  45. Indi-RomCoM: Code-Mixed Benchmark for Evaluating LLMs on Romanized Indic-English Instructions

    Jun 29, 2026Avisha Das, Mihir Parmar, Mohana Ramnath +1Indic LanguagesMultilingual

  46. Online Data Selection for Instruction Tuning via Gaussian Processes

    Jun 29, 2026Jun Wang, Quoc Phong Nguyen, Julien Monteil +1Instruction TuningInstruction-Tuned Large Language Models

  47. IHDec: Divergence-Steered Contrastive Decoding for Securing Multi-Turn Instruction Hierarchies

    Jun 29, 2026Nicole Geumheon Liu, Haeun Jang, Yonghyun Jun +1Contrastive DecodingInstruction-Tuned Large Language Models

  48. Are Humans Evolved Instruction Followers? An Underlying Inductive Bias Enables Rapid Instructed Task Learning

    Jun 29, 2026Anjishnu KumarInstructionLocal Inductive Bias

  49. A Tree-of-Thoughts Inspired Hybrid Approach for Legal Case Judgement Summarization using LLMs

    Jun 26, 2026Aniket Deroy, Kripabandhu Ghosh, Saptarshi GhoshSummarizationInstruction-Tuned Large Language Models

  50. On the Inseparability of Instructions and Data in Shared-Embedding Sequence Models

    Jun 25, 2026Dewank Pant, Shruti Lohani, Avijit KumarPrompt Injection DetectionUntrusted Input

  51. Paved with True Intents: Intent-Aware Training Improves LLM Safety Classification Across Training Regimes

    Jun 25, 2026Jeremias Ferrao, Niclas Müller-Hof, Iustin Sîrbu +2Large Language Model SafetyInstruction-Tuned Large Language Models

  52. Beyond Trajectory Imitation: Strategy-Guided Policy Optimization for LLM Reasoning

    Jun 23, 2026Tianyuan Shi, Canbin Huang, Bei Li +4LLM Reasoning MethodsPolicy Optimization

  53. PRIDE: Privileged Information-enhanced Distillation for Empathetic Dialogue Generation

    Jun 22, 2026Jiaqiang Wu, Zhouan Zhu, Shangfei WangEmpathyInstruction-Tuned Large Language Models

  54. Understanding Knowledge Distillation in Post-Training: When It Helps and When It Fails

    Jun 22, 2026Xin Liu, Simin Ma, Shujian Liu +5Heterogeneous Knowledge DistillationPost-Training

  55. Can LLMs Control Readability? A Multi-Dimensional Evaluation Framework for CEFR-Controlled Arabic Generation

    Jun 20, 2026Nour Rabih, Chatrine Qwaider, Ted BriscoeArabic Natural Language ProcessingReadability

  56. DRIFT: Refining Instruction Data via On-Policy Data Attribution

    Jun 16, 2026Zefan Wang, Lincheng Li, Tianyu Yu +1Supervised Fine-TuningReinforcement Fine-Tuning

  57. SHARD: Safe and Helpful Alignment via Self-Reframing Distillation

    Jun 14, 2026Viswonathan Manoranjan, Amogh Gupta, Anvesh Rao Vijjini +2Large Language Model SafetyInstruction-Tuned Large Language Models

  58. A Controlled Study of Decoding-Time Truthfulness Methods on Instruction-Tuned LLMs

    Jun 10, 2026Ao SunTruthInstruction-Tuned Large Language Models

  59. Soft-Prompt Tuning for Fair and Efficient LLM Benchmark Evaluation

    Jun 10, 2026Selen Erkan, Bastian Boll, Kristian Kersting +2Soft Prompt TuningLarge Language Model Benchmarks

  60. Hey Chat, Can You Teach Me? Structuring Socratic Dialogue for Human Learning in the Wild

    Jun 10, 2026Sidney Tio, Arunesh Sinha, Pradeep VarakanthamDialogue SystemsInstruction-Tuned Large Language Models