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Bibliographic Details
Main Authors:	Zhou, Hang, Wang, Chenglong, Hu, Yimin, Xiao, Tong, Zhang, Chunliang, Zhu, Jingbo
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2404.00978
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GRAM-R$^2$: Self-Training Generative Foundation Reward Models for Reward Reasoning
by: Wang, Chenglong, et al.
Published: (2025)

Hybrid Alignment Training for Large Language Models
by: Wang, Chenglong, et al.
Published: (2024)

MRO: Enhancing Reasoning in Diffusion Language Models via Multi-Reward Optimization
by: Wang, Chenglong, et al.
Published: (2025)

Teaching Language Models to Self-Improve by Learning from Language Feedback
by: Hu, Chi, et al.
Published: (2024)

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

Revealing the Parallel Multilingual Learning within Large Language Models
by: Mu, Yongyu, et al.
Published: (2024)

Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models
by: Chang, Kaiyan, et al.
Published: (2025)

APR: Penalizing Structural Redundancy in Large Reasoning Models via Anchor-based Process Rewards
by: Chang, Kaiyan, et al.
Published: (2026)

Foundations of Large Language Models
by: Xiao, Tong, et al.
Published: (2025)

Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models
by: Wang, Chenglong, et al.
Published: (2025)

RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data
by: Wang, Chenglong, et al.
Published: (2024)

Efficient Prompting Methods for Large Language Models: A Survey
by: Chang, Kaiyan, et al.
Published: (2024)

LaTeXTrans: Structured LaTeX Translation with Multi-Agent Coordination
by: Zhu, Ziming, et al.
Published: (2025)

Cross-layer Attention Sharing for Pre-trained Large Language Models
by: Mu, Yongyu, et al.
Published: (2024)

LRHP: Learning Representations for Human Preferences via Preference Pairs
by: Wang, Chenglong, et al.
Published: (2024)

Boosting Text-To-Image Generation via Multilingual Prompting in Large Multimodal Models
by: Mu, Yongyu, et al.
Published: (2025)

HEAL: A Hypothesis-Based Preference-Aware Analysis Framework
by: Huo, Yifu, et al.
Published: (2025)

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models
by: Huo, Yifu, et al.
Published: (2026)

RankPrompt: Step-by-Step Comparisons Make Language Models Better Reasoners
by: Hu, Chi, et al.
Published: (2024)

Task-Aligned Tool Recommendation for Large Language Models
by: Gao, Hang, et al.
Published: (2024)

TLDR: Token-Level Detective Reward Model for Large Vision Language Models
by: Fu, Deqing, et al.
Published: (2024)

Translate-and-Revise: Boosting Large Language Models for Constrained Translation
by: Huang, Pengcheng, et al.
Published: (2024)

Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models
by: Fan, Yuchun, et al.
Published: (2025)

Position IDs Matter: An Enhanced Position Layout for Efficient Context Compression in Large Language Models
by: Zhao, Runsong, et al.
Published: (2024)

Black-Box Prompt Optimization: Aligning Large Language Models without Model Training
by: Cheng, Jiale, et al.
Published: (2023)

Reward Collapse in Aligning Large Language Models
by: Song, Ziang, et al.
Published: (2023)

Transforming and Combining Rewards for Aligning Large Language Models
by: Wang, Zihao, et al.
Published: (2024)

Self-Rewarding PPO: Aligning Large Language Models with Demonstrations Only
by: Zhang, Qingru, et al.
Published: (2025)

CM-Align: Consistency-based Multilingual Alignment for Large Language Models
by: Zhang, Xue, et al.
Published: (2025)

Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation
by: Luo, Yingfeng, et al.
Published: (2025)

StoryAlign: Evaluating and Training Reward Models for Story Generation
by: Xia, Haotian, et al.
Published: (2026)

Revisiting Interpolation Augmentation for Speech-to-Text Generation
by: Xu, Chen, et al.
Published: (2024)

SERM: Self-Evolving Relevance Model with Agent-Driven Learning from Massive Query Streams
by: Wang, Chenglong, et al.
Published: (2026)

Checklists Are Better Than Reward Models For Aligning Language Models
by: Viswanathan, Vijay, et al.
Published: (2025)

StyleBench: Evaluating Speech Language Models on Conversational Speaking Style Control
by: Zhao, Haishu, et al.
Published: (2026)

PERM: Psychology-grounded Empathetic Reward Modeling for Large Language Models
by: Wang, Chengbing, et al.
Published: (2026)

MetaAlign: Align Large Language Models with Diverse Preferences during Inference Time
by: Zhang, Mozhi, et al.
Published: (2024)

Aligning Large Language Models with Searcher Preferences
by: Wu, Wei, et al.
Published: (2026)

Pedestrian Attribute Recognition: A New Benchmark Dataset and A Large Language Model Augmented Framework
by: Jin, Jiandong, et al.
Published: (2024)

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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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