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Bibliographic Details
Main Authors:	Du, He, Li, Bowen, Xie, Chengxing, Gao, Chang, Chen, Kai, Tao, Dacheng
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2510.13501
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InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling
by: Miao, Yuchun, et al.
Published: (2024)

Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs
by: Liu, Chris Yuhao, et al.
Published: (2024)

Why Self-Rewarding Works: Theoretical Guarantees for Iterative Alignment of Language Models
by: Fu, Shi, et al.
Published: (2026)

CAMEL: Confidence-Gated Reflection for Reward Modeling
by: Zhu, Zirui, et al.
Published: (2026)

Teaching LLMs to Abstain via Fine-Grained Semantic Confidence Reward
by: An, Hao, et al.
Published: (2025)

PACR: Progressively Ascending Confidence Reward for LLM Reasoning
by: Yoon, Eunseop, et al.
Published: (2025)

Reward-Robust RLHF in LLMs
by: Yan, Yuzi, et al.
Published: (2024)

Beyond Correctness: Confidence-Aware Reward Modeling for Enhancing Large Language Model Reasoning
by: He, Qianxi, et al.
Published: (2025)

On the Transformations across Reward Model, Parameter Update, and In-Context Prompt
by: Cai, Deng, et al.
Published: (2024)

Joint Reward Modeling: Internalizing Chain-of-Thought for Efficient Visual Reward Models
by: Yang, Yankai, et al.
Published: (2026)

Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
by: Xie, Tianbao, et al.
Published: (2023)

Structural Reward Model: Enhancing Interpretability, Efficiency, and Scalability in Reward Modeling
by: Liu, Xiaoyu, et al.
Published: (2025)

Self-Consistency of the Internal Reward Models Improves Self-Rewarding Language Models
by: Zhou, Xin, et al.
Published: (2025)

DocReward: A Document Reward Model for Structuring and Stylizing
by: Liu, Junpeng, et al.
Published: (2025)

Learning in Context, Guided by Choice: A Reward-Free Paradigm for Reinforcement Learning with Transformers
by: Dong, Juncheng, et al.
Published: (2026)

Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models
by: Kim, Kyuyoung, et al.
Published: (2024)

A Human-Like Reasoning Framework for Multi-Phases Planning Task with Large Language Models
by: Xie, Chengxing, et al.
Published: (2024)

GRAM: A Generative Foundation Reward Model for Reward Generalization
by: Wang, Chenglong, et al.
Published: (2025)

Reward Model Perspectives: Whose Opinions Do Reward Models Reward?
by: Elle
Published: (2025)

RLHF in an SFT Way: From Optimal Solution to Reward-Weighted Alignment
by: Du, Yuhao, et al.
Published: (2025)

Towards Understanding the Influence of Reward Margin on Preference Model Performance
by: Qin, Bowen, et al.
Published: (2024)

MemReward: Graph-Based Experience Memory for LLM Reward Prediction with Limited Labels
by: Luo, Tianyang, et al.
Published: (2026)

RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution
by: Li, Jiahui, et al.
Published: (2024)

CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction
by: Ma, Yinghao, et al.
Published: (2026)

When Right Meets Wrong: Bilateral Context Conditioning with Reward-Confidence Correction for GRPO
by: Li, Yu, et al.
Published: (2026)

OS-Themis: A Scalable Critic Framework for Generalist GUI Rewards
by: Li, Zehao, et al.
Published: (2026)

EvoSyn: Generalizable Evolutionary Data Synthesis for Verifiable Learning
by: Du, He, et al.
Published: (2025)

Reward-Augmented Data Enhances Direct Preference Alignment of LLMs
by: Zhang, Shenao, et al.
Published: (2024)

Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning
by: Zhang, Kongcheng, et al.
Published: (2025)

CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward
by: Liu, Shudong, et al.
Published: (2025)

LoRe: Personalizing LLMs via Low-Rank Reward Modeling
by: Bose, Avinandan, et al.
Published: (2025)

Direct Advantage Regression: Aligning LLMs with Online AI Reward
by: He, Li, et al.
Published: (2025)

Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment
by: Wang, Chaoqi, et al.
Published: (2025)

Reward Bound for Behavioral Guarantee of Model-based Planning Agents
by: An, Zhiyu, et al.
Published: (2024)

Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards
by: Ma, Zhengzhao, et al.
Published: (2026)

RM-R1: Reward Modeling as Reasoning
by: Chen, Xiusi, et al.
Published: (2025)

Self-Evolved Reward Learning for LLMs
by: Huang, Chenghua, et al.
Published: (2024)

SAFER: Probing Safety in Reward Models with Sparse Autoencoder
by: Shi, Wei, et al.
Published: (2025)

SemiReward: A General Reward Model for Semi-supervised Learning
by: Li, Siyuan, et al.
Published: (2023)

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// Anecdotal testing Today and Yesterday seems to indicate destroy() // is called by the garbage collector and everything is good. // Something to keep in mind though. return 0; } /** * Write function that is called when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ public function write($sessId, $data): bool { if ($this->writesDisabled) { return true; } return $this->saveSession($sessId, $data); } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ abstract protected function saveSession($sessId, $data): bool; }

* * @return void */ public function writeClose() { // The assumption is that we're using PHP's ext/session. // session_write_close() will actually overwrite $_SESSION with an // empty array on completion -- which leads to a mismatch between what // is in the storage object and $_SESSION. To get around this, we // temporarily reset $_SESSION to an array, and then re-link it to // the storage object. // // Additionally, while you _can_ write to $_SESSION following a // session_write_close() operation, no changes made to it will be // flushed to the session handler. As such, we now mark the storage // object isImmutable. $storage = $this->getStorage(); if (! $storage->isImmutable()) { $_SESSION = $storage->toArray(true); session_write_close(); $storage->fromArray($_SESSION); $storage->markImmutable(); } } /** * Attempt to set the session name * * If the session has already been started, or if the name provided fails * validation, an exception will be raised. * * @param string $name * @return SessionManager * @throws Exception\InvalidArgumentException */ public function setName($name) { if ($this->sessionExists()) { throw new Exception\InvalidArgumentException( 'Cannot set session name after a session has already started'

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