Instruction-Tuned Models

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Period ending 2026-09-21

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Period ending 2026-09-14

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Period ending 2026-09-07

6 new papers

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148 papers

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Localizing Anchoring Pathways in Language Models
Jun 11, 2026Hillary N. Owusu, Sarah Wiegreffe, Naomi H. FeldmanInstruction-Tuned Models Large Language Model Judges
A Controlled Study of Decoding-Time Truthfulness Methods on Instruction-Tuned LLMs
Jun 10, 2026Ao SunTruth Instruction-Tuned Models
Hey Chat, Can You Teach Me? Structuring Socratic Dialogue for Human Learning in the Wild
Jun 10, 2026Sidney Tio, Arunesh Sinha, Pradeep VarakanthamSocratic Dialogue Tutors
When is Your LLM Steerable?
Jun 10, 2026Chenrui Fan, Yize Cheng, Ming Li +2Activation Steering Steering
Can Editing 1 Neuron Fix Repetition Loops in LLMs?
Jun 9, 2026Aristotelis Lazaridis, Aman Sharma, Dylan Bates +3Instruction-Tuned Models Repetition
Steering Where to Listen: Instruction-Based Activation Steering Redirects Temporal Attention in Large Audio-Language Models
Jun 9, 2026Tsung-En Lin, Hung-Yi LeeLarge Audio Language Models Activation Steering
Does Reasoning Preserve Alignment? On the Trustworthiness of Large Reasoning Models
Jun 9, 2026Prajakta Kini, Avinash Reddy, Souradip Chakraborty +4Large Reasoning Models Instruction-Tuned Models
Training LLMs to Enforce Multi-Level Instruction Hierarchies via Gravity-Weighted Direct Preference Optimization
Jun 9, 2026Lena S. Bolliger, Lena A. JägerLarge Language Model Alignment Instruction-Tuned Models
When Built-in Thinking Helps and Hurts: Constraint-Level Error Shifts in Instruction Following
Jun 8, 2026Sai Adith Senthil KumarLarge Reasoning Models Thinking
PRISM: Recovering Instruction Sets from Language Model Activations
Jun 8, 2026Gilad Gressel, Rahul Pankajakshan, Julia Diament +3Instruction-Tuned Models Instruction
Emergence of Context Characteristics Sensitivity in Large Language Models
Jun 8, 2026Nadya Yuki Wangsajaya, Haeun Yu, Isabelle AugensteinInstruction-Tuned Models Fluency
ComplexConstraints and Beyond: Expert Rubrics for RLVR
Jun 8, 2026Sushant Mehta, Liudas Panavas, Suhaas Garre +1Rubric-Based Reinforcement Learning Rubrics
Lost in the Flow with Code Talkers: Unveiling the Instruction-Tuning Tax of Large Language Models in Code Tasks
Jun 7, 2026Shi Ying Chang, Chiok Yew Ho, Yichen Li +1Instruction Tuning Instruction-Tuned Models
Beyond Linear Activation Steering: Invertible Latent Transformations for Controlling LLM Behavior
Jun 7, 2026Tuc Nguyen, Thai LeActivation Steering Steering
Caliper: Probing Lexical Anchors versus Causal Structure in LLMs
Jun 3, 2026Zhenyu Yu, Shuigeng ZhouCausal Reasoning Instruction-Tuned Models
CRAFT: Cost-aware Refinement And Front-aware Tuning of Prompts
Jun 3, 2026Shanu Kumar, Shubhanshu Khandelwal, Akhila Yesantarao Venkata +3Cost-Aware Inference Cost
SePO: Self-Evolving Prompt Agent for System Prompt Optimization
Jun 3, 2026Wangcheng Tao, Han Wu, Weng-Fai WongPrior Prompt Optimization Techniques Prompt Engineering
Expert-Aware Refusal Steering
Jun 2, 2026Anna C. Marbut, Daniel R. Olson, Travis J. WheelerRefusals Mixture-Of-Expert Language Models
Bridging Auxiliary Constraints to Resolve Instruction Following in Large Reasoning Models
Jun 2, 2026Zhengyi Zhao, Shubo Zhang, Huimin Wang +7Label Constraint Modeling Large Reasoning Models
Decomposing how prompting steers behavior
Jun 2, 2026Fan L. Cheng, Nikolaus KriegeskorteInstruction-Tuned Models Visual In-Context Learning
MOSAIC: Efficient Mixture-of-Agent Scheduling via Adaptive Aggregation and Inference Concurrency
Jun 2, 2026Saptarshi Mitra, Yifan Zhang, Rachid Karami +5Workload Scheduling
Dive into Ambiguity: A*-Inspired Multi-Agents Commonsense Obfuscation Attack on LLM Prompts
May 31, 2026Boxuan Wang, Zhuoyun Li, Xiaowei Huang +1Prior Prompt Optimization Techniques Obfuscation
TriLens: Per-Layer Logit-Lens Entropy for White-Box Hallucination Detection
May 31, 2026Bohan Yang, Yijun Gong, Zhi Zhang +3Hallucination Detection Lens
Configurable Reward Model for Balanced Safety Alignment
May 28, 2026Zhengping Jiang, Mehran Khodabandeh, Akash Bharadwaj +5Safety Alignment Safety Evaluation
UniSteer: Text-Guided Flow Matching in Activation Space for Versatile LLM Steering
May 28, 2026Yingdong Shi, Ruiming Zhang, Changming Li +4Activation Steering Instruction-Tuned Models
Recovering Diversity Without Losing Alignment: A DPO Recipe for Post-Trained LLMs
May 28, 2026Vinay Samuel, Yapei Chang, Mohit IyyerLarge Language Model Post-Training Diversity
PEARL: Training Socratic Tutors with Pedagogically Aligned Reinforcement Learning
May 28, 2026Qikai Chang, Zhenrong Zhang, Linbo Chen +4Socratic Dialogue Curriculum Reinforcement Learning
Prompt Codebooks: Discrete Compositional Optimization for Language Model Instruction Refinement
May 27, 2026Jyotirmoy Nath, Neeraj Kumar, Brejesh LallInstruction-Tuned Models Codebooks
GRADE: Generalizable Reasoning-Aware Dialogue Evaluation for AI Tutors
May 27, 2026Parth Bhalerao, Jeromy Chang, David Chou +1Tutors Grading
Diagnosing Live Within-Policy Instruction Conflicts in LLM Agents with Witnessed Resolution Profiles
May 27, 2026Lu Yan, Xuan Chen, Xiangyu ZhangLarge Language Model Agents Instruction-Tuned Models
Learning to Translate from Soft to Hard LLM Prompts
May 26, 2026Pitipat Kongsomjit, Suryansh Goyal, Jacob WhitehillMachine Translation Models Prompt Tuning
Security in the Fine-Tuning Lifecycle of Large Language Models: Threats, Defenses,Evaluation, and Future Directions
May 24, 2026Wenjuan Li, Yitao Liu, Runze Chen +1Large Language Model Fine-Tuning Defense Strategies
Intent Signal Theory: A Computational Framework for Intent-State Control in Human-AI Interaction
May 24, 2026Gang PengHuman-Ai Interaction Ground-Truth Signal
PoisonForge: Task-Level Targeted Poisoning Benchmark for Instruction-Tuned LLMs
May 22, 2026Luze Sun, Anshuman Suri, Harsh Chaudhari +2Language Model Evasion Attacks Poisoning
As X, Do Y: How Persona and Task Combine in Instruction-Tuned LLMs
May 22, 2026Eric XuInstruction-Tuned Models Persona
One prompt is not enough: Instruction Sensitivity Undermines Embedding Model Evaluation
May 21, 2026Yevhen Kostiuk, Kenneth EnevoldsenInstruction-Tuned Models Large Language Model Evaluation
Reflective Prompt Tuning through Language Model Function-Calling
May 20, 2026Farima Fatahi Bayat, Moin Aminnaseri, Pouya Pezeshkpour +1Prompt Tuning Instruction-Tuned Models
Strategy-Induct: Task-Level Strategy Induction for Instruction Generation
May 20, 2026Po-Chun Chen, Hen-Hsen Huang, Hsin-Hsi ChenInstruction-Tuned Models Instruction
Do as I Say, Not as I Do: Instruction-Induction Conflict in LLMs
May 19, 2026Carolina Camassa, Derek ShillerInstruction-Tuned Models Instruction
Know When To Fold 'Em: Token-Efficient LLM Synthetic Data Generation via Multi-Stage In-Flight Rejection
May 13, 2026Anjir Ahmed Chowdhury, Syed Zawad, Feng YanSynthetic Data Large Language Model Generation
RTLC -- Research, Teach-to-Learn, Critique: A three-stage prompting paradigm inspired by the Feynman Learning Technique that lifts LLM-as-judge accuracy on JudgeBench with no fine-tuning
May 13, 2026Andrea MorandiLlm-As-A-Judge Judges
Tracing Persona Vectors Through LLM Pretraining
May 13, 2026Viktor Moskvoretskii, Dominik Glandorf, Jorge Medina Moreira +2Personality Large Language Model Safety
Training LLMs with Reinforcement Learning for Intent-Aware Personalized Question Answering
May 12, 2026Maryam Amirizaniani, Benjamin Charles Germain Lee, Jevin West +1Instruction-Tuned Models Personalization
Targeted Neuron Modulation via Contrastive Pair Search
May 12, 2026Sam Herring, Jake Naviasky, Karan MalhotraInstruction-Tuned Models Large Language Model Alignment
From Noise to Diversity: Random Embedding Injection in LLM Reasoning
May 12, 2026Heejun Kim, Seungpil Lee, Jewon Yeom +5Large Language Model Reasoning Instruction-Tuned Models
Instruct-ICL: Instruction-Guided In-Context Learning for Post-Disaster Damage Assessment
May 12, 2026Armin Zarbaft, Ehsan Karimi, Nhut Le +1Post-Disaster Damage Assessment Multimodal Reasoning
Compositional Literary Primitives in Instruction-Tuned LLMs: Cross-Architectural SAE Features for Self, Style, and Affect
May 11, 2026Joao Paulo Cavalcante Presa, Savio Salvarino Teles de OliveiraInstruction-Tuned Models Emotion
Instructions Shape Production of Language, not Processing
May 11, 2026Andreas Waldis, Leshem Choshen, Yufang Hou +1Instruction Instruction-Tuned Models
LLARS: Enabling Domain Expert & Developer Collaboration for LLM Prompting, Generation and Evaluation
May 11, 2026Philipp Steigerwald, Mara Stieler, Jennifer Burghardt +2Automatic Prompt Optimization Instruction-Tuned Models
CALYREX: Cross-Attention LaYeR EXtended Transformers for System Prompt Anchoring
May 10, 2026Li LixingInstruction-Tuned Models Cross-Attention
Tool Calling is Linearly Readable and Steerable in Language Models
May 8, 2026Zekun Wu, Ze Wang, Seonglae Cho +4Call Multi-Turn Tool-Use Agent
SEIF: Self-Evolving Reinforcement Learning for Instruction Following
May 8, 2026Qingyu Ren, Qianyu He, Jiajie Zhu +7Instruction Instruction-Tuned Models
Instruction Tuning Changes How Upstream State Conditions Late Readout: A Cross-Patching Diagnostic
May 8, 2026Yifan ZhouInstruction Tuning Model Activations
The Convergence Gap: Instruction-Tuned Language Models Stabilize Later in the Forward Pass
May 8, 2026Yifan ZhouTraining-Inference Mismatch Instruction-Tuned Models
HyperTransport: Amortized Conditioning of T2I Generative Models
May 7, 2026Valentino Maiorca, Eleonora Gualdoni, Xavier Suau +3Activation Steering Stable Transport
SEQUOR: A Multi-Turn Benchmark for Realistic Constraint Following
May 7, 2026Beatriz Canaverde, Duarte M. Alves, José Pombal +2Multi-Turn Conversations Instruction
Post-Reasoning: Improving the Performance of Non-Thinking Models at No Cost
May 7, 2026Richmond Sin Jing Xuan, Rishabh Bhardwaj, Soujanya PoriaInstruction-Tuned Models Inference Latency
Conceptors for Semantic Steering
May 6, 2026Ilias Triantafyllopoulos, Young-Min Cho, Ren Tao +6Activation Steering Steering
JASTIN: Aligning LLMs for Zero-Shot Audio and Speech Evaluation via Natural Language Instructions
May 6, 2026Leying Zhang, Bowen Shi, Haibin Wu +2Speech Evaluation Instruction-Tuned Models
Self-Prompting Small Language Models for Privacy-Sensitive Clinical Information Extraction
May 5, 2026Yao-Shun Chuang, Tushti Mody, Uday Pratap Singh +6Small Language Models Instruction-Tuned Models

Jun 11, 2026 · cs.CLJ/K move · Enter open · S save

Localizing Anchoring Pathways in Language Models

Hillary N. Owusu, Sarah Wiegreffe, Naomi H. Feldman

Irrelevant numbers in a prompt can shift language model judgments, producing anchoring effects in numerical reasoning. We study where this anchor-sensitive signal is carried inside language models using a controlled multiple-choice setup with shared answer options. We define a logit-difference metric comparing the correct answer option with the answer option corresponding to the anchor, and validate that it tracks behavioral anchoring. Using attribution-based circuit localization on 7B--8B Qwen and Llama base and instruction-tuned models, we find that edge-level methods recover this signal more faithfully than node-level methods. Low- and high-anchor circuits transfer strongly within a model, suggesting shared pathway structure across anchor direction. However, sparse transfer across base and instruction-tuned variants is less reliable, indicating that post-training changes which pathways matter most. Overall, our results provide a mechanistic account of how anchoring-related decision signals are carried inside language models.

Instruction-Tuned Models Large Language Model Judges

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