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20222026
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16 papers · 1 filter

cs.CL2026

The Backdrop Exposes What the World Around an Agent Costs It

Nusrat Jahan Lia, Shubhashis Roy Dipta

Agent benchmarks test agents in worlds that stay still. Deployed agents work in worlds that other people also change. Someone texts the agent to send the money elsewhere or an orde…

cs.CL2026

Last Translation Benchmark

Vilém Zouhar, Niyati Bafna, Mukund Choudhary +263

For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…

cs.CL2026

Register Shifts Break LLM Safety: A Bengali Benchmark with Culturally Grounded Harms

Naymul Islam, Nusrat Jahan Lia, Shubhashis Roy Dipta +2

Bengali is the seventh-most-spoken language globally, yet LLM safety evaluation remains overwhelmingly English-centric. We introduce BanglaSafe, a benchmark of 879 Bengali prompts…

cs.CL2026

Cornerstones or Stumbling Blocks? Deciphering the Rock Tokens in On-Policy Distillation

Yuxuan Jiang, Runchao Li, Shubhashis Roy Dipta +2

While recent work in Reinforcement Learning with Verifiable Rewards (RLVR) has shown that a small subset of critical tokens disproportionately drives reasoning gains, an analogous…

cs.LG2026

Right Knowledge, Wrong Answer: Characterizing Parametric Temporal Conflict in Open-Weight Language Models

Elias Hossain, Sourav Saha, Tasfia Nuzhat Ornee +5

Language models may encode both outdated facts and their newer replacements. We introduce Parametric Temporal Conflict (PTC), where the newer fact is present and recoverable, but t…

cs.CL2026

DecomposeRL: Learning to Ask Useful, Informative, and Diverse Questions for Semi-Supervised, Traceable Claim Verification

Shubhashis Roy Dipta, Ankur Padia, Francis Ferraro

Claim verification splits between end-to-end classifiers that are accurate but yields no inspectable traces, and decomposition-based methods produce inspectable traces but lag perf…

cs.AI2026

TRIAGE: Evaluating Prospective Metacognitive Control in LLMs under Resource Constraints

Zabir Al Nazi, Shubhashis Roy Dipta

Deploying language models as autonomous agents requires more than per-task accuracy: when an agent faces a queue of problems under a finite token budget, it must decide which to at…

cs.CL2026

AgentCollabBench: Diagnosing When Good Agents Make Bad Collaborators

Aritra Mazumder, Shubhashis Roy Dipta, Nusrat Jahan Lia +10

Multi-agent systems achieve state-of-the-art outcomes through peer collaboration. However, when an agent in the pipeline silently drops a constraint, the system's final output may…

cs.LG2026

Omni-Modal Dissonance Benchmark: Systematically Breaking Modality Consensus to Probe Robustness and Calibrated Abstention

Zabir Al Nazi, Shubhashis Roy Dipta, Md Rizwan Parvez

Existing omni-modal benchmarks attempt to measure modality-specific contributions, but their measurements are confounded: naturally co-occurring modalities carry correlated yet une…

cs.AI2026

UAT-LITE: Inference-Time Uncertainty-Aware Attention for Pretrained Transformers

Elias Hossain, Shubhashis Roy Dipta, Subash Neupane +4

Neural NLP models are often miscalibrated and overconfident, assigning high confidence to incorrect predictions and failing to express uncertainty during internal evidence aggregat…

cs.CL2026

Many Dialects, Many Languages, One Cultural Lens: Evaluating Multilingual VLMs for Bengali Culture Understanding Across Historically Linked Languages and Regional Dialects

Nurul Labib Sayeedi, Md. Faiyaz Abdullah Sayeedi, Shubhashis Roy Dipta +6

Bangla culture is richly expressed through region, dialect, history, food, politics, media, and everyday visual life, yet it remains underrepresented in multimodal evaluation. To a…

cs.CL2026

PA3: Policy-Aware Agent Alignment through Chain-of-Thought

Shubhashis Roy Dipta, Daniel Bis, Kun Zhou +4

Conversational assistants powered by large language models (LLMs) excel at tool-use tasks but struggle with adhering to complex, business-specific rules. While models can reason ov…

cs.CL2026

BanglaIPA: Towards Robust Text-to-IPA Transcription with Contextual Rewriting in Bengali

Jakir Hasan, Shrestha Datta, Md Saiful Islam +2

Despite its widespread use, Bengali lacks a robust automated International Phonetic Alphabet (IPA) transcription system that effectively supports both standard language and regiona…

cs.CL2026

Cross-Lingual Sentiment Misalignment: Auditing Multilingual Language Models for Inversion Risk, Dialectal Representation, and Affective Stability

Nusrat Jahan Lia, Shubhashis Roy Dipta

Recent advances in multilingual representation learning aim to bridge the performance gap between high- and low-resource languages, yet their ability to preserve affective meaning…

cs.CL2026

DAGGER: Distractor-Aware Graph Generation for Executable Reasoning in Math Problems

Zabir Al Nazi, Shubhashis Roy Dipta, Sudipta Kar

Chain-of-Thought (CoT) prompting is widely adopted for mathematical problem solving, including in low-resource languages, yet its behavior under irrelevant context remains underexp…

cs.CL2026

GanitLLM: Difficulty-Aware Bengali Mathematical Reasoning through Curriculum-GRPO

Shubhashis Roy Dipta, Khairul Mahbub, Nadia Najjar

We present a Bengali mathematical reasoning model called GanitLLM (named after the Bangla word for mathematics, Ganit), together with a new difficulty-aware Bengali math corpus and…